-----------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/eelco/Dropbox/Academic/Journal submissions/IO 2019/Final Manuscript/IO_GC_replication/log.log
  log type:  text
 opened on:  16 Dec 2019, 01:36:05

. 
. 
. use  "leader_fates_data.dta", clear

. 
. 
. * set random seed to repeat outcomes:
. 
. set seed 12345

. 
. 
. *****************************************************************;
. *   generate propensity score                                                    ;      
. *****************************************************************;
. 
. 
. pscore genonset altcoup_risk lgdppcl lpopl polity guerrilla tenure newleader2 Banks_purge,  pscore(pscore) numblo(5) level(.1) 



**************************************************** 
Algorithm to estimate the propensity score 
**************************************************** 


The treatment is genonset

  Genocidal |
Consolidati |
   on Onset |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        357       97.28       97.28
          1 |         10        2.72      100.00
------------+-----------------------------------
      Total |        367      100.00



Estimation of the propensity score 

Iteration 0:   log likelihood = -45.890273
Iteration 1:   log likelihood = -39.546573
Iteration 2:   log likelihood = -38.707435
Iteration 3:   log likelihood = -38.649847
Iteration 4:   log likelihood = -38.648989
Iteration 5:   log likelihood = -38.648988

Probit regression                                 Number of obs   =        367
                                                  LR chi2(8)      =      14.48
                                                  Prob > chi2     =     0.0700
Log likelihood = -38.648988                       Pseudo R2       =     0.1578

------------------------------------------------------------------------------
    genonset |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
altcoup_risk |   .3527476   .3261909     1.08   0.280    -.2865747    .9920699
     lgdppcl |  -.2686748   .1752636    -1.53   0.125    -.6121852    .0748356
       lpopl |   .1720345   .1241966     1.39   0.166    -.0713863    .4154553
      polity |  -.0873951   .0882776    -0.99   0.322    -.2604159    .0856258
   guerrilla |   .7272158   .3146715     2.31   0.021      .110471    1.343961
      tenure |  -.0124485   .0345597    -0.36   0.719    -.0801844    .0552873
  newleader2 |  -.4010367   .3624901    -1.11   0.269    -1.111504    .3094309
 Banks_purge |  -.1334602    .366396    -0.36   0.716    -.8515832    .5846628
       _cons |  -1.561393   1.741997    -0.90   0.370    -4.975644    1.852858
------------------------------------------------------------------------------



Description of the estimated propensity score 

                 Estimated propensity score
-------------------------------------------------------------
      Percentiles      Smallest
 1%     .0001329       .0000579
 5%     .0004872       .0000661
10%     .0010753       .0000713       Obs                 367
25%     .0042523       .0001329       Sum of Wgt.         367

50%     .0117238                      Mean           .0273148
                        Largest       Std. Dev.       .039947
75%     .0333223       .1791109
90%     .0764186       .1890001       Variance       .0015958
95%     .1071642        .225317       Skewness       3.081706
99%     .1791109        .347826       Kurtosis       17.19993



****************************************************** 
Step 1: Identification of the optimal number of blocks 
Use option detail if you want more detailed output 
****************************************************** 


The final number of blocks is 6

This number of blocks ensures that the mean propensity score
is not different for treated and controls in each blocks



********************************************************** 
Step 2: Test of balancing property of the propensity score 
Use option detail if you want more detailed output 
********************************************************** 


The balancing property is satisfied 


This table shows the inferior bound, the number of treated
and the number of controls for each block 

  Inferior |       Genocidal
  of block |  Consolidation Onset
of pscore  |         0          1 |     Total
-----------+----------------------+----------
         0 |       188          0 |       188 
     .0125 |        66          2 |        68 
      .025 |        44          2 |        46 
       .05 |        39          4 |        43 
        .1 |        19          1 |        20 
        .2 |         1          1 |         2 
-----------+----------------------+----------
     Total |       357         10 |       367 



******************************************* 
End of the algorithm to estimate the pscore 
******************************************* 

. 
. 
. *****************************************************************;
. *  Main analysis leader fates  .1 cal, n50                       ;
. *                                                                ;
. *  Figure 4, p 41, Average Treatment Effect of Genocidal         ;
. *  Consolidation on Adverse Leader Fates.                        ;
. *                                                                ;
. *  Also, first column of Table A.9 of appendix E                 ;              
. *****************************************************************;
. 
. 
. 
. * Death
. psmatch2 genonset if dem==0, outcome(death) n(50) cal(.1) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           death  Unmatched |          0   .047619048  -.047619048   .067527754    -0.71
                        ATT |          0   .090181818  -.090181818   .022755772    -3.96
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(death) n(50) cal(.1) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
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Bootstrap results                               Number of obs      =       367
                                                Replications       =      4998

      command:  psmatch2 genonset, outcome(death) n(50) cal(.1) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.0901818   .0347129    -2.60   0.009    -.1582179   -.0221457
------------------------------------------------------------------------------
Note: one or more parameters could not be estimated in 2 bootstrap replicates;
      standard-error estimates include only complete replications.

. 
. 
. * Imprisonment
. psmatch2 genonset if dem==0, outcome(prison) n(50) cal(.1) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
          prison  Unmatched |          0   .058823529  -.058823529   .074610108    -0.79
                        ATT |          0   .053090909  -.053090909   .020909301    -2.54
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(prison) n(50) cal(.1) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
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Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(prison) n(50) cal(.1) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.0530909   .0243333    -2.18   0.029    -.1007833   -.0053985
------------------------------------------------------------------------------

. 
. * Exile
. 
. psmatch2 genonset if dem==0, outcome(exile) n(50) cal(.1) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           exile  Unmatched |         .1    .19047619   -.09047619   .125528777    -0.72
                        ATT |         .1   .186181818  -.086181818   .105552164    -0.82
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(exile) n(50) cal(.1) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
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Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(exile) n(50) cal(.1) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.0861818   .1136814    -0.76   0.448    -.3089933    .1366297
------------------------------------------------------------------------------

. 
. 
. * External irregular exit
. psmatch2 genonset if dem==0, outcome(foreign_x_yrs) n(50) cal(.1) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
   foreign_x_yrs  Unmatched |         .2   .047619048   .152380952   .070785822     2.15
                        ATT |         .2   .083090909   .116909091   .135113188     0.87
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(foreign_x_yrs) n(50) cal(.1) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
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Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(foreign_x_yrs) n(50) cal(.1) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |   .1169091   .1435953     0.81   0.416    -.1645326    .3983508
------------------------------------------------------------------------------

. 
. 
. * Internal irregular exit
. psmatch2 genonset if dem==0, outcome(internal_x_yrs) n(50) cal(.1) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
  internal_x_yrs  Unmatched |         .1   .263305322  -.163305322   .140560781    -1.16
                        ATT |         .1   .284363636  -.184363636   .107522745    -1.71
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(internal_x_yrs) n(50) cal(.1) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
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Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(internal_x_yrs) n(50) cal(.1) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.1843636   .1117691    -1.65   0.099     -.403427    .0346997
------------------------------------------------------------------------------

. 
. 
. * Irregular exit (any)
. psmatch2 genonset if dem==0, outcome(irreg_x_yrs) n(50) cal(.1) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
     irreg_x_yrs  Unmatched |         .3    .31092437   -.01092437    .14877465    -0.07
                        ATT |         .3   .367454545  -.067454545   .158362628    -0.43
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(irreg_x_yrs) n(50) cal(.1) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
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Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(irreg_x_yrs) n(50) cal(.1) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.0674545   .1668718    -0.40   0.686    -.3945172    .2596082
------------------------------------------------------------------------------

. 
. 
. 
. 
. *****************************************************************;
. * rosenbaum sensitivity analysis                                                 ;      
. * footnote 136 and 137 on page 41                                                ;      
. *****************************************************************;
. 
. 
. gen difscore = .
(367 missing values generated)

. * death gamma: 3.04 at 95 one-tailed aplpha
. psmatch2 genonset if dem==0, outcome(death) cal(.1) n(50) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           death  Unmatched |          0   .047619048  -.047619048   .067527754    -0.71
                        ATT |          0   .090181818  -.090181818   .022755772    -3.96
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. replace difscore = death - _death if _treat==1& _support==1
(10 real changes made)

. rbounds difscore,gamma(2.8(0.01)3.1) alpha(.95)

Rosenbaum bounds for difscore (N = 10 matched pairs)

Gamma           sig+      sig-    t-hat+    t-hat-       CI+       CI-
----------------------------------------------------------------------
    1        .002059   .002059       -.1       -.1  -.110909      -.06  
  2.8        7.9e-07   .043212       -.1      -.07       -99        99  
 2.81        7.6e-07   .043493       -.1      -.07       -99        99  
 2.82        7.3e-07   .043774       -.1      -.07       -99        99  
 2.83        6.9e-07   .044055       -.1      -.07       -99        99  
 2.84        6.7e-07   .044335       -.1      -.07       -99        99  
 2.85        6.4e-07   .044616       -.1      -.07       -99        99  
 2.86        6.1e-07   .044897       -.1      -.07       -99        99  
 2.87        5.9e-07   .045177       -.1      -.07       -99        99  
 2.88        5.6e-07   .045458       -.1      -.07       -99        99  
 2.89        5.4e-07   .045738       -.1      -.07       -99        99  
  2.9        5.2e-07   .046019       -.1      -.07       -99        99  
 2.91        4.9e-07   .046299       -.1      -.07       -99        99  
 2.92        4.7e-07   .046579       -.1      -.07       -99        99  
 2.93        4.5e-07   .046859       -.1      -.07       -99        99  
 2.94        4.3e-07   .047139       -.1      -.07       -99        99  
 2.95        4.2e-07   .047419       -.1      -.07       -99        99  
 2.96        4.0e-07   .047699       -.1      -.07       -99        99  
 2.97        3.8e-07   .047979       -.1      -.07       -99        99  
 2.98        3.7e-07   .048258       -.1      -.07       -99        99  
 2.99        3.5e-07   .048538       -.1      -.07       -99        99  
    3        3.4e-07   .048817       -.1      -.07       -99        99  
 3.01        3.2e-07   .049097       -.1      -.07       -99        99  
 3.02        3.1e-07   .049376       -.1      -.07       -99        99  
 3.03        3.0e-07   .049655       -.1      -.07       -99        99  
 3.04        2.8e-07   .049934       -.1      -.07       -99        99  
 3.05        2.7e-07   .050212       -.1      -.07       -99        99  
 3.06        2.6e-07   .050491       -.1      -.07       -99        99  
 3.07        2.5e-07    .05077       -.1      -.07       -99        99  
 3.08        2.4e-07   .051048       -.1      -.07       -99        99  
 3.09        2.3e-07   .051326       -.1      -.07       -99        99  
  3.1        2.2e-07   .051604       -.1      -.07       -99        99  

* gamma  - log odds of differential assignment due to unobserved factors
  sig+   - upper bound significance level
  sig-   - lower bound significance level
  t-hat+ - upper bound Hodges-Lehmann point estimate
  t-hat- - lower bound Hodges-Lehmann point estimate
  CI+    - upper bound confidence interval (a=  .95)
  CI-    - lower bound confidence interval (a=  .95)

. drop difscore

. 
. gen difscore = .
(367 missing values generated)

. * prison gamma:  2.92 at 95 one-tailed aplpha
. psmatch2 genonset if dem==0, outcome(prison) cal(.1) n(50) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
          prison  Unmatched |          0   .058823529  -.058823529   .074610108    -0.79
                        ATT |          0   .053090909  -.053090909   .020909301    -2.54
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. replace difscore = prison - _prison if _treat==1 & _support==1
(10 real changes made)

. rbounds difscore,gamma(2.5(0.01)3) alpha(.95)

Rosenbaum bounds for difscore (N = 10 matched pairs)

Gamma           sig+      sig-    t-hat+    t-hat-       CI+       CI-
----------------------------------------------------------------------
    1        .002446   .002446      -.05      -.05  -.075455      -.03  
  2.5        4.3e-06   .037558  -.065455      -.04       -99        99  
 2.51        4.1e-06   .037849  -.065455      -.04       -99        99  
 2.52        4.0e-06   .038141  -.065455      -.04       -99        99  
 2.53        3.8e-06   .038432  -.065455      -.04       -99        99  
 2.54        3.6e-06   .038724  -.065455      -.04       -99        99  
 2.55        3.5e-06   .039016  -.065455      -.04       -99        99  
 2.56        3.4e-06   .039308  -.065455      -.04       -99        99  
 2.57        3.2e-06   .039599  -.065455      -.04       -99        99  
 2.58        3.1e-06   .039891  -.065455      -.04       -99        99  
 2.59        3.0e-06   .040183  -.065455      -.04       -99        99  
  2.6        2.8e-06   .040475  -.065455      -.04       -99        99  
 2.61        2.7e-06   .040767  -.065455      -.04       -99        99  
 2.62        2.6e-06   .041059  -.065455      -.04       -99        99  
 2.63        2.5e-06   .041351  -.065455      -.04       -99        99  
 2.64        2.4e-06   .041643  -.065455      -.04       -99        99  
 2.65        2.3e-06   .041936  -.065455      -.04       -99        99  
 2.66        2.2e-06   .042228  -.065455      -.04       -99        99  
 2.67        2.1e-06    .04252  -.065455      -.04       -99        99  
 2.68        2.0e-06   .042812  -.065455      -.04       -99        99  
 2.69        2.0e-06   .043104  -.065455      -.04       -99        99  
  2.7        1.9e-06   .043396  -.065455      -.04       -99        99  
 2.71        1.8e-06   .043687  -.065455      -.04       -99        99  
 2.72        1.7e-06   .043979  -.065455      -.04       -99        99  
 2.73        1.7e-06   .044271  -.065455      -.04       -99        99  
 2.74        1.6e-06   .044563  -.065455      -.04       -99        99  
 2.75        1.5e-06   .044855  -.065455      -.04       -99        99  
 2.76        1.5e-06   .045146  -.065455      -.04       -99        99  
 2.77        1.4e-06   .045438  -.065455      -.04       -99        99  
 2.78        1.4e-06   .045729  -.065455      -.04       -99        99  
 2.79        1.3e-06   .046021  -.065455      -.04       -99        99  
  2.8        1.2e-06   .046312  -.065455      -.04       -99        99  
 2.81        1.2e-06   .046603  -.065455      -.04       -99        99  
 2.82        1.1e-06   .046895  -.065455      -.04       -99        99  
 2.83        1.1e-06   .047186  -.065455      -.04       -99        99  
 2.84        1.1e-06   .047477  -.065455      -.04       -99        99  
 2.85        1.0e-06   .047768  -.065455      -.04       -99        99  
 2.86        9.7e-07   .048058  -.065455      -.04       -99        99  
 2.87        9.3e-07   .048349  -.065455      -.04       -99        99  
 2.88        9.0e-07   .048639  -.065455      -.04       -99        99  
 2.89        8.6e-07    .04893  -.065455      -.04       -99        99  
  2.9        8.3e-07    .04922  -.065455      -.04       -99        99  
 2.91        7.9e-07    .04951  -.065455      -.04       -99        99  
 2.92        7.6e-07     .0498  -.065455      -.04       -99        99  
 2.93        7.3e-07    .05009      -.07      -.04       -99        99  
 2.94        7.0e-07    .05038      -.07      -.04       -99        99  
 2.95        6.7e-07   .050669      -.07      -.04       -99        99  
 2.96        6.4e-07   .050958      -.07      -.04       -99        99  
 2.97        6.2e-07   .051248      -.07      -.04       -99        99  
 2.98        5.9e-07   .051537      -.07      -.04       -99        99  
  2.9        8.3e-07    .04922  -.065455      -.04       -99        99  

* gamma  - log odds of differential assignment due to unobserved factors
  sig+   - upper bound significance level
  sig-   - lower bound significance level
  t-hat+ - upper bound Hodges-Lehmann point estimate
  t-hat- - lower bound Hodges-Lehmann point estimate
  CI+    - upper bound confidence interval (a=  .95)
  CI-    - lower bound confidence interval (a=  .95)

. drop difscore

. 
. gen difscore = .
(367 missing values generated)

. * internal exit  gamma: 1.48
. psmatch2 genonset if dem==0, outcome(internal_x_yrs) cal(.1) n(50) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
  internal_x_yrs  Unmatched |         .1   .263305322  -.163305322   .140560781    -1.16
                        ATT |         .1   .284363636  -.184363636   .107522745    -1.71
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. replace difscore = internal_x_yrs - _internal_x_yrs if _treat==1 & _support==1
(10 real changes made)

. rbounds difscore,gamma(1.3(0.01)1.5) alpha(.95)

Rosenbaum bounds for difscore (N = 10 matched pairs)

Gamma           sig+      sig-    t-hat+    t-hat-       CI+       CI-
----------------------------------------------------------------------
    1        .035351   .035351      -.28      -.28  -.301818       .21  
  1.3        .014024   .073625      -.28      -.27  -.321818       .22  
 1.31        .013604   .075038      -.28      -.27  -.321818       .22  
 1.32        .013197   .076458      -.28      -.27  -.321818       .22  
 1.33        .012802   .077885      -.28      -.27  -.321818       .22  
 1.34         .01242   .079318      -.28      -.27  -.321818       .22  
 1.35        .012049   .080757      -.28      -.27  -.321818       .22  
 1.36         .01169   .082201      -.28      -.27  -.321818       .22  
 1.37        .011341   .083652      -.28      -.27  -.321818       .22  
 1.38        .011003   .085108      -.28      -.27  -.321818       .22  
 1.39        .010676   .086569      -.28      -.27  -.321818       .22  
  1.4        .010358   .088036      -.28      -.27  -.321818       .22  
 1.41         .01005   .089507      -.28      -.27  -.321818       .22  
 1.42        .009752   .090984      -.28      -.27  -.321818       .22  
 1.43        .009462   .092465      -.28      -.27  -.321818       .22  
 1.44        .009181    .09395      -.28      -.27  -.321818       .22  
 1.45        .008909   .095441      -.28      -.27  -.321818       .22  
 1.46        .008645   .096935      -.28      -.27  -.321818       .22  
 1.47        .008389   .098433      -.28      -.27  -.321818       .22  
 1.48        .008141   .099936      -.28      -.27  -.321818       .22  
 1.49          .0079   .101442      -.28      -.27  -.321818       .22  
  1.5        .007667   .102952      -.28      -.27  -.321818       .22  

* gamma  - log odds of differential assignment due to unobserved factors
  sig+   - upper bound significance level
  sig-   - lower bound significance level
  t-hat+ - upper bound Hodges-Lehmann point estimate
  t-hat- - lower bound Hodges-Lehmann point estimate
  CI+    - upper bound confidence interval (a=  .95)
  CI-    - lower bound confidence interval (a=  .95)

. drop difscore

. 
. 
. 
. 
. *****************************************************************;
. *   Table A.7 balance of various matching specifications         ;
. *   Also, reprinted in Table A. 13                               ;              
. *****************************************************************;
. 
. set more off

. psmatch2 genonset if dem==0, outcome(death) radius cal(.01) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           death  Unmatched |          0   .047619048  -.047619048   .067527754    -0.71
                        ATT |          0   .082575541  -.082575541   .022187095    -3.72
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

 psmatch2: |   psmatch2: Common
 Treatment |        support
assignment | Off suppo  On suppor |     Total
-----------+----------------------+----------
 Untreated |         0        357 |       357 
   Treated |         1          9 |        10 
-----------+----------------------+----------
     Total |         1        366 |       367 


. pstest altcoup_risk lgdppcl lpopl polity guerrilla tenure newleader2 Banks_purge, both t(genonset) graph

----------------------------------------------------------------------------------------
                Unmatched |       Mean               %reduct |     t-test    |  V(T)/
Variable          Matched | Treated Control    %bias  |bias| |    t    p>|t| |  V(C)
--------------------------+----------------------------------+---------------+----------
altcoup_risk           U  |     .6   .43697     32.2         |   1.02  0.307 |  1.08
                       M  | .55556    .5362      3.8    88.1 |   0.08  0.939 |  0.99
                          |                                  |               |
lgdppcl                U  | 6.0225   6.6033    -58.4         |  -2.04  0.042 |  1.55
                       M  | 6.1767   6.2058     -2.9    95.0 |  -0.06  0.950 |  1.41
                          |                                  |               |
lpopl                  U  | 9.9577   9.4133     38.0         |   1.50  0.135 |  2.29
                       M  | 9.5662   9.7261    -11.2    70.6 |  -0.27  0.793 |  0.86
                          |                                  |               |
polity                 U  |    5.1   6.5798    -61.3         |  -1.46  0.145 |  0.14*
                       M  | 5.3333   5.2162      4.9    92.1 |   0.18  0.861 |  0.35
                          |                                  |               |
guerrilla              U  |     .6   .28011     66.1         |   2.21  0.028 |  1.32
                       M  | .66667   .58785     16.3    75.4 |   0.33  0.748 |  0.92
                          |                                  |               |
tenure                 U  |    4.7   3.5294     20.9         |   0.71  0.480 |  1.37
                       M  | 3.2222   3.9149    -12.4    40.8 |  -0.33  0.745 |  0.69
                          |                                  |               |
newleader2             U  |     .5   .65546    -31.0         |  -1.02  0.310 |  1.23
                       M  | .55556   .49223     12.6    59.3 |   0.25  0.803 |  0.99
                          |                                  |               |
Banks_purge            U  |     .3    .2465     11.7         |   0.39  0.700 |  1.25
                       M  | .22222   .23406     -2.6    77.9 |  -0.06  0.956 |  0.96
                          |                                  |               |
----------------------------------------------------------------------------------------
* if variance ratio outside [0.25; 4.03] for U and [0.23; 4.43] for M

-----------------------------------------------------------------------------------
 Sample    | Ps R2   LR chi2   p>chi2   MeanBias   MedBias      B      R     %Var
-----------+-----------------------------------------------------------------------
 Unmatched | 0.158     14.48    0.070     39.9      35.1     137.7*   0.44*    12
 Matched   | 0.017      0.42    1.000      8.3       8.0      29.0*   0.47*     0
-----------------------------------------------------------------------------------
* if B>25%, R outside [0.5; 2]

. 
. psmatch2 genonset if dem==0, outcome(death) radius cal(.02) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           death  Unmatched |          0   .047619048  -.047619048   .067527754    -0.71
                        ATT |          0   .063018553  -.063018553   .016787196    -3.75
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

 psmatch2: |   psmatch2: Common
 Treatment |        support
assignment | Off suppo  On suppor |     Total
-----------+----------------------+----------
 Untreated |         0        357 |       357 
   Treated |         1          9 |        10 
-----------+----------------------+----------
     Total |         1        366 |       367 


. pstest altcoup_risk lgdppcl lpopl polity guerrilla tenure newleader2 Banks_purge, both t(genonset) graph

----------------------------------------------------------------------------------------
                Unmatched |       Mean               %reduct |     t-test    |  V(T)/
Variable          Matched | Treated Control    %bias  |bias| |    t    p>|t| |  V(C)
--------------------------+----------------------------------+---------------+----------
altcoup_risk           U  |     .6   .43697     32.2         |   1.02  0.307 |  1.08
                       M  | .55556    .5577     -0.4    98.7 |  -0.01  0.993 |  1.00
                          |                                  |               |
lgdppcl                U  | 6.0225   6.6033    -58.4         |  -2.04  0.042 |  1.55
                       M  | 6.1767   6.2901    -11.4    80.5 |  -0.25  0.809 |  1.54
                          |                                  |               |
lpopl                  U  | 9.9577   9.4133     38.0         |   1.50  0.135 |  2.29
                       M  | 9.5662   9.6256     -4.2    89.1 |  -0.10  0.922 |  0.96
                          |                                  |               |
polity                 U  |    5.1   6.5798    -61.3         |  -1.46  0.145 |  0.14*
                       M  | 5.3333   5.4661     -5.5    91.0 |  -0.17  0.869 |  0.23
                          |                                  |               |
guerrilla              U  |     .6   .28011     66.1         |   2.21  0.028 |  1.32
                       M  | .66667   .56068     21.9    66.9 |   0.42  0.678 |  0.90
                          |                                  |               |
tenure                 U  |    4.7   3.5294     20.9         |   0.71  0.480 |  1.37
                       M  | 3.2222   3.9011    -12.1    42.0 |  -0.31  0.763 |  0.65
                          |                                  |               |
newleader2             U  |     .5   .65546    -31.0         |  -1.02  0.310 |  1.23
                       M  | .55556   .54036      3.0    90.2 |   0.06  0.954 |  0.99
                          |                                  |               |
Banks_purge            U  |     .3    .2465     11.7         |   0.39  0.700 |  1.25
                       M  | .22222   .25332     -6.8    41.9 |  -0.14  0.889 |  0.91
                          |                                  |               |
----------------------------------------------------------------------------------------
* if variance ratio outside [0.25; 4.03] for U and [0.23; 4.43] for M

-----------------------------------------------------------------------------------
 Sample    | Ps R2   LR chi2   p>chi2   MeanBias   MedBias      B      R     %Var
-----------+-----------------------------------------------------------------------
 Unmatched | 0.158     14.48    0.070     39.9      35.1     137.7*   0.44*    12
 Matched   | 0.031      0.77    0.999      8.2       6.1      38.7*   0.31*     0
-----------------------------------------------------------------------------------
* if B>25%, R outside [0.5; 2]

. 
. psmatch2 genonset if dem==0, outcome(death) radius cal(.05) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           death  Unmatched |          0   .047619048  -.047619048   .067527754    -0.71
                        ATT |          0   .055337566  -.055337566   .019049962    -2.90
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. pstest altcoup_risk lgdppcl lpopl polity guerrilla tenure newleader2 Banks_purge, both t(genonset) graph

----------------------------------------------------------------------------------------
                Unmatched |       Mean               %reduct |     t-test    |  V(T)/
Variable          Matched | Treated Control    %bias  |bias| |    t    p>|t| |  V(C)
--------------------------+----------------------------------+---------------+----------
altcoup_risk           U  |     .6   .43697     32.2         |   1.02  0.307 |  1.08
                       M  |     .6   .54385     11.1    65.6 |   0.24  0.812 |  0.97
                          |                                  |               |
lgdppcl                U  | 6.0225   6.6033    -58.4         |  -2.04  0.042 |  1.55
                       M  | 6.0225   6.3725    -35.2    39.7 |  -0.77  0.450 |  1.41
                          |                                  |               |
lpopl                  U  | 9.9577   9.4133     38.0         |   1.50  0.135 |  2.29
                       M  | 9.9577   9.5919     25.6    32.8 |   0.56  0.581 |  2.07
                          |                                  |               |
polity                 U  |    5.1   6.5798    -61.3         |  -1.46  0.145 |  0.14*
                       M  |    5.1   5.8696    -31.9    48.0 |  -0.79  0.439 |  0.18*
                          |                                  |               |
guerrilla              U  |     .6   .28011     66.1         |   2.21  0.028 |  1.32
                       M  |     .6    .4661     27.7    58.1 |   0.57  0.573 |  0.96
                          |                                  |               |
tenure                 U  |    4.7   3.5294     20.9         |   0.71  0.480 |  1.37
                       M  |    4.7   4.0602     11.4    45.3 |   0.26  0.801 |  1.37
                          |                                  |               |
newleader2             U  |     .5   .65546    -31.0         |  -1.02  0.310 |  1.23
                       M  |     .5   .59276    -18.5    40.3 |  -0.40  0.696 |  1.04
                          |                                  |               |
Banks_purge            U  |     .3    .2465     11.7         |   0.39  0.700 |  1.25
                       M  |     .3   .22544     16.3   -39.4 |   0.36  0.723 |  1.20
                          |                                  |               |
----------------------------------------------------------------------------------------
* if variance ratio outside [0.25; 4.03] for U and [0.25; 4.03] for M

-----------------------------------------------------------------------------------
 Sample    | Ps R2   LR chi2   p>chi2   MeanBias   MedBias      B      R     %Var
-----------+-----------------------------------------------------------------------
 Unmatched | 0.158     14.48    0.070     39.9      35.1     137.7*   0.44*    12
 Matched   | 0.090      2.49    0.962     22.2      22.0      67.9*   0.24*    12
-----------------------------------------------------------------------------------
* if B>25%, R outside [0.5; 2]

. 
. psmatch2 genonset if dem==0, outcome(death) radius cal(.1) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           death  Unmatched |          0   .047619048  -.047619048   .067527754    -0.71
                        ATT |          0   .062713248  -.062713248   .012834988    -4.89
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. pstest altcoup_risk lgdppcl lpopl polity guerrilla tenure newleader2 Banks_purge, both t(genonset) graph

----------------------------------------------------------------------------------------
                Unmatched |       Mean               %reduct |     t-test    |  V(T)/
Variable          Matched | Treated Control    %bias  |bias| |    t    p>|t| |  V(C)
--------------------------+----------------------------------+---------------+----------
altcoup_risk           U  |     .6   .43697     32.2         |   1.02  0.307 |  1.08
                       M  |     .6   .47501     24.7    23.3 |   0.54  0.599 |  0.96
                          |                                  |               |
lgdppcl                U  | 6.0225   6.6033    -58.4         |  -2.04  0.042 |  1.55
                       M  | 6.0225   6.4816    -46.2    21.0 |  -1.00  0.330 |  1.33
                          |                                  |               |
lpopl                  U  | 9.9577   9.4133     38.0         |   1.50  0.135 |  2.29
                       M  | 9.9577   9.5281     30.0    21.1 |   0.65  0.521 |  1.96
                          |                                  |               |
polity                 U  |    5.1   6.5798    -61.3         |  -1.46  0.145 |  0.14*
                       M  |    5.1   6.2639    -48.2    21.4 |  -1.08  0.293 |  0.14*
                          |                                  |               |
guerrilla              U  |     .6   .28011     66.1         |   2.21  0.028 |  1.32
                       M  |     .6   .36385     48.8    26.2 |   1.03  0.316 |  1.04
                          |                                  |               |
tenure                 U  |    4.7   3.5294     20.9         |   0.71  0.480 |  1.37
                       M  |    4.7   3.7713     16.6    20.7 |   0.37  0.718 |  1.29
                          |                                  |               |
newleader2             U  |     .5   .65546    -31.0         |  -1.02  0.310 |  1.23
                       M  |     .5   .62079    -24.1    22.3 |  -0.52  0.609 |  1.06
                          |                                  |               |
Banks_purge            U  |     .3    .2465     11.7         |   0.39  0.700 |  1.25
                       M  |     .3   .24909     11.1     4.9 |   0.24  0.811 |  1.12
                          |                                  |               |
----------------------------------------------------------------------------------------
* if variance ratio outside [0.25; 4.03] for U and [0.25; 4.03] for M

-----------------------------------------------------------------------------------
 Sample    | Ps R2   LR chi2   p>chi2   MeanBias   MedBias      B      R     %Var
-----------+-----------------------------------------------------------------------
 Unmatched | 0.158     14.48    0.070     39.9      35.1     137.7*   0.44*    12
 Matched   | 0.173      4.81    0.778     31.2      27.3      98.2*   0.17*    12
-----------------------------------------------------------------------------------
* if B>25%, R outside [0.5; 2]

. 
. psmatch2 genonset if dem==0, outcome(death) cal(.05) n(50) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           death  Unmatched |          0   .047619048  -.047619048   .067527754    -0.71
                        ATT |          0   .072526316  -.072526316   .027487453    -2.64
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. pstest altcoup_risk lgdppcl lpopl polity guerrilla tenure newleader2 Banks_purge, both t(genonset) graph

----------------------------------------------------------------------------------------
                Unmatched |       Mean               %reduct |     t-test    |  V(T)/
Variable          Matched | Treated Control    %bias  |bias| |    t    p>|t| |  V(C)
--------------------------+----------------------------------+---------------+----------
altcoup_risk           U  |     .6   .43697     32.2         |   1.02  0.307 |  1.08
                       M  |     .6   .59705      0.6    98.2 |   0.01  0.990 |  1.00
                          |                                  |               |
lgdppcl                U  | 6.0225   6.6033    -58.4         |  -2.04  0.042 |  1.55
                       M  | 6.0225   6.1269    -10.5    82.0 |  -0.23  0.817 |  1.80
                          |                                  |               |
lpopl                  U  | 9.9577   9.4133     38.0         |   1.50  0.135 |  2.29
                       M  | 9.9577   9.6935     18.5    51.5 |   0.39  0.702 |  1.89
                          |                                  |               |
polity                 U  |    5.1   6.5798    -61.3         |  -1.46  0.145 |  0.14*
                       M  |    5.1   5.0999      0.0   100.0 |   0.00  1.000 |  0.55
                          |                                  |               |
guerrilla              U  |     .6   .28011     66.1         |   2.21  0.028 |  1.32
                       M  |     .6   .60884     -1.8    97.2 |  -0.04  0.971 |  1.01
                          |                                  |               |
tenure                 U  |    4.7   3.5294     20.9         |   0.71  0.480 |  1.37
                       M  |    4.7    4.414      5.1    75.6 |   0.11  0.913 |  1.35
                          |                                  |               |
newleader2             U  |     .5   .65546    -31.0         |  -1.02  0.310 |  1.23
                       M  |     .5     .514     -2.8    91.0 |  -0.06  0.955 |  1.00
                          |                                  |               |
Banks_purge            U  |     .3    .2465     11.7         |   0.39  0.700 |  1.25
                       M  |     .3   .20758     20.2   -72.7 |   0.44  0.665 |  1.28
                          |                                  |               |
----------------------------------------------------------------------------------------
* if variance ratio outside [0.25; 4.03] for U and [0.25; 4.03] for M

-----------------------------------------------------------------------------------
 Sample    | Ps R2   LR chi2   p>chi2   MeanBias   MedBias      B      R     %Var
-----------+-----------------------------------------------------------------------
 Unmatched | 0.158     14.48    0.070     39.9      35.1     137.7*   0.44*    12
 Matched   | 0.014      0.39    1.000      7.4       3.9      26.6*   1.20      0
-----------------------------------------------------------------------------------
* if B>25%, R outside [0.5; 2]

. 
. psmatch2 genonset if dem==0, outcome(death) cal(.1) n(50) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           death  Unmatched |          0   .047619048  -.047619048   .067527754    -0.71
                        ATT |          0   .090181818  -.090181818   .022755772    -3.96
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. pstest altcoup_risk lgdppcl lpopl polity guerrilla tenure newleader2 Banks_purge, both t(genonset) graph

----------------------------------------------------------------------------------------
                Unmatched |       Mean               %reduct |     t-test    |  V(T)/
Variable          Matched | Treated Control    %bias  |bias| |    t    p>|t| |  V(C)
--------------------------+----------------------------------+---------------+----------
altcoup_risk           U  |     .6   .43697     32.2         |   1.02  0.307 |  1.08
                       M  |     .6   .56073      7.8    75.9 |   0.16  0.872 |  0.97
                          |                                  |               |
lgdppcl                U  | 6.0225   6.6033    -58.4         |  -2.04  0.042 |  1.55
                       M  | 6.0225   6.1328    -11.1    81.0 |  -0.25  0.807 |  1.79
                          |                                  |               |
lpopl                  U  | 9.9577   9.4133     38.0         |   1.50  0.135 |  2.29
                       M  | 9.9577   9.7242     16.3    57.1 |   0.34  0.739 |  1.74
                          |                                  |               |
polity                 U  |    5.1   6.5798    -61.3         |  -1.46  0.145 |  0.14*
                       M  |    5.1   5.1375     -1.6    97.5 |  -0.06  0.955 |  0.56
                          |                                  |               |
guerrilla              U  |     .6   .28011     66.1         |   2.21  0.028 |  1.32
                       M  |     .6   .59891      0.2    99.7 |   0.00  0.996 |  1.00
                          |                                  |               |
tenure                 U  |    4.7   3.5294     20.9         |   0.71  0.480 |  1.37
                       M  |    4.7   4.2476      8.1    61.4 |   0.17  0.864 |  1.33
                          |                                  |               |
newleader2             U  |     .5   .65546    -31.0         |  -1.02  0.310 |  1.23
                       M  |     .5   .50745     -1.5    95.2 |  -0.03  0.976 |  1.00
                          |                                  |               |
Banks_purge            U  |     .3    .2465     11.7         |   0.39  0.700 |  1.25
                       M  |     .3   .23327     14.6   -24.7 |   0.31  0.759 |  1.17
                          |                                  |               |
----------------------------------------------------------------------------------------
* if variance ratio outside [0.25; 4.03] for U and [0.25; 4.03] for M

-----------------------------------------------------------------------------------
 Sample    | Ps R2   LR chi2   p>chi2   MeanBias   MedBias      B      R     %Var
-----------+-----------------------------------------------------------------------
 Unmatched | 0.158     14.48    0.070     39.9      35.1     137.7*   0.44*    12
 Matched   | 0.011      0.31    1.000      7.6       7.9      23.5    1.39      0
-----------------------------------------------------------------------------------
* if B>25%, R outside [0.5; 2]

. 
. psmatch2 genonset if dem==0, outcome(death) cal(.2) n(50) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           death  Unmatched |          0   .047619048  -.047619048   .067527754    -0.71
                        ATT |          0         .082        -.082   .022850987    -3.59
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. pstest altcoup_risk lgdppcl lpopl polity guerrilla tenure newleader2 Banks_purge, both t(genonset) graph

----------------------------------------------------------------------------------------
                Unmatched |       Mean               %reduct |     t-test    |  V(T)/
Variable          Matched | Treated Control    %bias  |bias| |    t    p>|t| |  V(C)
--------------------------+----------------------------------+---------------+----------
altcoup_risk           U  |     .6   .43697     32.2         |   1.02  0.307 |  1.08
                       M  |     .6     .552      9.5    70.6 |   0.20  0.843 |  0.97
                          |                                  |               |
lgdppcl                U  | 6.0225   6.6033    -58.4         |  -2.04  0.042 |  1.55
                       M  | 6.0225   6.1623    -14.1    75.9 |  -0.32  0.756 |  1.83
                          |                                  |               |
lpopl                  U  | 9.9577   9.4133     38.0         |   1.50  0.135 |  2.29
                       M  | 9.9577   9.6846     19.1    49.8 |   0.40  0.696 |  1.77
                          |                                  |               |
polity                 U  |    5.1   6.5798    -61.3         |  -1.46  0.145 |  0.14*
                       M  |    5.1     5.19     -3.7    93.9 |  -0.14  0.891 |  0.57
                          |                                  |               |
guerrilla              U  |     .6   .28011     66.1         |   2.21  0.028 |  1.32
                       M  |     .6     .594      1.2    98.1 |   0.03  0.980 |  1.00
                          |                                  |               |
tenure                 U  |    4.7   3.5294     20.9         |   0.71  0.480 |  1.37
                       M  |    4.7     4.09     10.9    47.9 |   0.24  0.817 |  1.33
                          |                                  |               |
newleader2             U  |     .5   .65546    -31.0         |  -1.02  0.310 |  1.23
                       M  |     .5     .512     -2.4    92.3 |  -0.05  0.961 |  1.00
                          |                                  |               |
Banks_purge            U  |     .3    .2465     11.7         |   0.39  0.700 |  1.25
                       M  |     .3     .234     14.4   -23.4 |   0.31  0.762 |  1.17
                          |                                  |               |
----------------------------------------------------------------------------------------
* if variance ratio outside [0.25; 4.03] for U and [0.25; 4.03] for M

-----------------------------------------------------------------------------------
 Sample    | Ps R2   LR chi2   p>chi2   MeanBias   MedBias      B      R     %Var
-----------+-----------------------------------------------------------------------
 Unmatched | 0.158     14.48    0.070     39.9      35.1     137.7*   0.44*    12
 Matched   | 0.018      0.51    1.000      9.4      10.2      30.4*   1.53      0
-----------------------------------------------------------------------------------
* if B>25%, R outside [0.5; 2]

. 
. 
. 
. *****************************************************************;
. * leader matches and pscores.                                    ;
. * Table A.8 of Appendix E.                                       ;
. * Tables A.15�A.25 of Appendix.                                          ;              
. *****************************************************************;
. 
. 
. psmatch2 genonset if dem==0, outcome(death) cal(.1) n(50) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           death  Unmatched |          0   .047619048  -.047619048   .067527754    -0.71
                        ATT |          0   .090181818  -.090181818   .022755772    -3.96
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. sort _id

. *list leader year if _id >=160 & _id <=209
. 
. 
. unab xvars: _n1-_n50

. local xarg : subinstr local xvars " " ",", all

. generate xmax = max(`xarg')
(357 missing values generated)

. generate xmin = min(`xarg')
(357 missing values generated)

. list leader _pscore xmin xmax if xmax!=.

     +----------------------------------------+
     |       leader     _pscore   xmin   xmax |
     |----------------------------------------|
358. | Sindikubwabo   .01767508    193    242 |
359. |         Amin   .02237647    216    265 |
360. |    Milosevic   .03102081    241    290 |
361. |        Gowon    .0462493    265    314 |
362. |      Suharto   .05021121    267    316 |
     |----------------------------------------|
363. |    Al-Bashir   .05465321    274    323 |
364. |    Kayibanda   .07333099    291    340 |
365. |      Pol Pot    .0889992    297    346 |
366. |    Micombero    .1198589    306    355 |
367. | Mao Tse-Tung   .22531705    346    356 |
     +----------------------------------------+

. 
. *Sindikubwabo .01767508      
. list country leader year _pscore if _id >= 193 & _id <= 242

     +-------------------------------------------------------------------------------+
     |                        country                      leader   year     _pscore |
     |-------------------------------------------------------------------------------|
193. |     Burkina Faso (Upper Volta)                     Sankara   1983   .01343037 |
194. |          Russia (Soviet Union)                    Brezhnev   1964   .01354715 |
195. |                         Brazil              Costa de Silva   1968   .01359647 |
196. |                     Azerbaijan                   H. Aliyev   1994   .01379476 |
197. |                           Peru                       Odria   1954   .01415805 |
     |-------------------------------------------------------------------------------|
198. |                       Portugal                     Caetano   1974   .01448112 |
199. |                 Czechoslovakia                    Gottwald   1951   .01449367 |
200. |                      Guatemala                      Cerezo   1988   .01481856 |
201. |                        Somalia                  Siad Barre   1970   .01483597 |
202. |                         Poland                      Bierut   1952   .01484007 |
     |-------------------------------------------------------------------------------|
203. |                         Mexico               Ruiz Cortines   1954   .01486938 |
204. |                  Cote D�Ivoire                 Konan Bedie   1995   .01527506 |
205. |                          China                 Jiang Zemin   1998   .01533403 |
206. |                         Taiwan             Chiang Kai-shek   1967   .01538445 |
207. |                    Afghanistan   Sardar Mohammad Daud Khan   1973   .01541189 |
     |-------------------------------------------------------------------------------|
208. |                          Egypt                       Sadat   1971   .01555953 |
209. |                         Guinea                       Conte   1985   .01569803 |
210. |                    Afghanistan              Mohammad Yusuf   1963   .01574221 |
211. |     Burkina Faso (Upper Volta)                    Lamizana   1980   .01607314 |
212. |                         Zambia                      Kaunda   1990   .01609562 |
     |-------------------------------------------------------------------------------|
213. |                  Cote D�Ivoire            Houphouet-Boigny   1980   .01610291 |
214. |     Burkina Faso (Upper Volta)                       Zerbo   1981   .01636345 |
215. |           Vietnam, Republic of                   Van Huong   1964   .01665548 |
216. |                          Niger                    Kountche   1974   .01713455 |
217. |                          Haiti                    Magloire   1952   .01766939 |
     |-------------------------------------------------------------------------------|
218. |                          Ghana                      Ankrah   1967   .01766956 |
219. |                          Niger                       Diori   1961   .01769119 |
220. |                          Nepal                    Birendra   1972   .01785327 |
221. |           Cambodia (Kampuchea)                    Sihanouk   1968   .01793536 |
222. |                         Brazil             Castello Branco   1964   .01830896 |
     |-------------------------------------------------------------------------------|
223. |           Cambodia (Kampuchea)                 Heng Samrin   1980   .01832355 |
224. |                          Syria                    Al-Hafiz   1966   .01838184 |
225. |                          Nepal                  Mohan Rana   1951   .01840057 |
226. |                          Nepal                   Tribhuvan   1952   .01840057 |
227. |                         Mexico                Lopez Mateos   1960   .01840355 |
     |-------------------------------------------------------------------------------|
228. |                       Thailand                        Prem   1981    .0186815 |
229. |                   Sierra Leone                       Momoh   1987    .0191253 |
230. |                    El Salvador                Majano Ramos   1979   .01932179 |
231. |    Korea, People's Republic of                 Kim Il-Sung   1992   .01943147 |
232. |                          Syria                   Al-Khatib   1970   .01945153 |
     |-------------------------------------------------------------------------------|
233. |                  Iran (Persia)                  Rafsanjani   1990   .01955054 |
234. |        Turkey (Ottoman Empire)                      Gursel   1960   .01974123 |
235. |                    Afghanistan                  Najibullah   1990   .01987418 |
236. |                        Burundi              Ntibantunganya   1995   .02050732 |
237. | Yemen (Arab Republic of Yemen)             Ibn Yahya Hamid   1952   .02082556 |
     |-------------------------------------------------------------------------------|
238. |            Serbia (Yugoslavia)                        Tito   1953   .02117422 |
239. |                        Senegal                     Senghor   1962   .02129216 |
240. |     Burkina Faso (Upper Volta)                    Lamizana   1966   .02136134 |
241. |                   Saudi Arabia                        Saud   1961   .02158138 |
242. |                         Uganda                       Obote   1969   .02182113 |
     +-------------------------------------------------------------------------------+

. 
. 
. *Amin  .02237647      
. list country leader year _pscore if _id >= 216 & _id <= 265

     +----------------------------------------------------------------------+
     |                         country            leader   year     _pscore |
     |----------------------------------------------------------------------|
216. |                           Niger          Kountche   1974   .01713455 |
217. |                           Haiti          Magloire   1952   .01766939 |
218. |                           Ghana            Ankrah   1967   .01766956 |
219. |                           Niger             Diori   1961   .01769119 |
220. |                           Nepal          Birendra   1972   .01785327 |
     |----------------------------------------------------------------------|
221. |            Cambodia (Kampuchea)          Sihanouk   1968   .01793536 |
222. |                          Brazil   Castello Branco   1964   .01830896 |
223. |            Cambodia (Kampuchea)       Heng Samrin   1980   .01832355 |
224. |                           Syria          Al-Hafiz   1966   .01838184 |
225. |                           Nepal        Mohan Rana   1951   .01840057 |
     |----------------------------------------------------------------------|
226. |                           Nepal         Tribhuvan   1952   .01840057 |
227. |                          Mexico      Lopez Mateos   1960   .01840355 |
228. |                        Thailand              Prem   1981    .0186815 |
229. |                    Sierra Leone             Momoh   1987    .0191253 |
230. |                     El Salvador      Majano Ramos   1979   .01932179 |
     |----------------------------------------------------------------------|
231. |     Korea, People's Republic of       Kim Il-Sung   1992   .01943147 |
232. |                           Syria         Al-Khatib   1970   .01945153 |
233. |                   Iran (Persia)        Rafsanjani   1990   .01955054 |
234. |         Turkey (Ottoman Empire)            Gursel   1960   .01974123 |
235. |                     Afghanistan        Najibullah   1990   .01987418 |
     |----------------------------------------------------------------------|
236. |                         Burundi    Ntibantunganya   1995   .02050732 |
237. |  Yemen (Arab Republic of Yemen)   Ibn Yahya Hamid   1952   .02082556 |
238. |             Serbia (Yugoslavia)              Tito   1953   .02117422 |
239. |                         Senegal           Senghor   1962   .02129216 |
240. |      Burkina Faso (Upper Volta)          Lamizana   1966   .02136134 |
     |----------------------------------------------------------------------|
241. |                    Saudi Arabia              Saud   1961   .02158138 |
242. |                          Uganda             Obote   1969   .02182113 |
243. |                           Egypt            Naguib   1953   .02197862 |
244. |                         Burundi             Ntare   1966   .02209019 |
245. |                            Chad              Deby   1991   .02233039 |
     |----------------------------------------------------------------------|
246. |                        Portugal       Costa Gomes   1975   .02233339 |
247. |                           Egypt            Nasser   1954   .02280031 |
248. |                      Tajikistan           Nabiyev   1992   .02285616 |
249. |                         Algeria       Boumedienne   1967   .02361141 |
250. |                          Rwanda       Paul Kagame   1995   .02392355 |
     |----------------------------------------------------------------------|
251. |                           Niger        Mainassara   1998   .02417588 |
252. |                         Lebanon          Franjieh   1975   .02432686 |
253. |                           Haiti   Duvalier, Jean-   1973   .02466251 |
254. |                        Pakistan         Khan Noon   1958   .02484569 |
255. |                         Rumania      Georghiu-Dej   1952    .0260192 |
     |----------------------------------------------------------------------|
256. | Vietnam, Democratic Republic of           Le Duan   1977   .02650094 |
257. |                         Nigeria            Abacha   1993   .02664866 |
258. |                            Mali             Keita   1965   .02672435 |
259. |              Korea, Republic of          Hee Park   1961   .02672497 |
260. |              Korea, Republic of              Rhee   1954   .02693352 |
     |----------------------------------------------------------------------|
261. |                       Guatemala    Mejia Victores   1984   .02693402 |
262. |                          Angola        Dos Santos   1995   .02699283 |
263. |                        Cameroon            Ahidjo   1980   .02702871 |
264. |                           Kenya               Moi   1982   .02702873 |
265. |      Burkina Faso (Upper Volta)           Yameogo   1962   .02756293 |
     +----------------------------------------------------------------------+

. 
. 
. 
. *Milosevic .03102081       
. list country leader year _pscore if _id >= 241 & _id <= 290

     +--------------------------------------------------------------------------------+
     |                         country                      leader   year     _pscore |
     |--------------------------------------------------------------------------------|
241. |                    Saudi Arabia                        Saud   1961   .02158138 |
242. |                          Uganda                       Obote   1969   .02182113 |
243. |                           Egypt                      Naguib   1953   .02197862 |
244. |                         Burundi                       Ntare   1966   .02209019 |
245. |                            Chad                        Deby   1991   .02233039 |
     |--------------------------------------------------------------------------------|
246. |                        Portugal                 Costa Gomes   1975   .02233339 |
247. |                           Egypt                      Nasser   1954   .02280031 |
248. |                      Tajikistan                     Nabiyev   1992   .02285616 |
249. |                         Algeria                 Boumedienne   1967   .02361141 |
250. |                          Rwanda                 Paul Kagame   1995   .02392355 |
     |--------------------------------------------------------------------------------|
251. |                           Niger                  Mainassara   1998   .02417588 |
252. |                         Lebanon                    Franjieh   1975   .02432686 |
253. |                           Haiti             Duvalier, Jean-   1973   .02466251 |
254. |                        Pakistan                   Khan Noon   1958   .02484569 |
255. |                         Rumania                Georghiu-Dej   1952    .0260192 |
     |--------------------------------------------------------------------------------|
256. | Vietnam, Democratic Republic of                     Le Duan   1977   .02650094 |
257. |                         Nigeria                      Abacha   1993   .02664866 |
258. |                            Mali                       Keita   1965   .02672435 |
259. |              Korea, Republic of                    Hee Park   1961   .02672497 |
260. |              Korea, Republic of                        Rhee   1954   .02693352 |
     |--------------------------------------------------------------------------------|
261. |                       Guatemala              Mejia Victores   1984   .02693402 |
262. |                          Angola                  Dos Santos   1995   .02699283 |
263. |                        Cameroon                      Ahidjo   1980   .02702871 |
264. |                           Kenya                         Moi   1982   .02702873 |
265. |      Burkina Faso (Upper Volta)                     Yameogo   1962   .02756293 |
     |--------------------------------------------------------------------------------|
266. |                            Mali                      Traore   1991   .02823241 |
267. |                            Chad                     Oueddei   1980   .02973791 |
268. |  Yemen (Arab Republic of Yemen)                   AL-Sallal   1962     .029796 |
269. |                        Thailand                       Sarit   1958   .03015962 |
270. |                       Guatemala                  Rios Montt   1983    .0301985 |
     |--------------------------------------------------------------------------------|
271. |                           Ghana                    Rawlings   1984   .03122675 |
272. |                      Tajikistan                   Rakhmonov   1997   .03212028 |
273. |                         Tunisia           Ben Ali Bourguiba   1962   .03332228 |
274. |                        Pakistan                   Ayub Khan   1959   .03382697 |
275. |                         Nigeria                    Obasanjo   1976   .03385386 |
     |--------------------------------------------------------------------------------|
276. |                     Afghanistan         Burhanuddin Rabbani   1996   .03451655 |
277. |                        Thailand                       Sanya   1973   .03529962 |
278. |                        Colombia   Roberto Urdaneta Arbelaez   1952   .03535698 |
279. |                           Haiti          Duvalier, Francois   1968   .03543226 |
280. |                    Sierra Leone                      Koroma   1997   .03584538 |
     |--------------------------------------------------------------------------------|
281. |                         Morocco                   Hassan II   1971   .03608992 |
282. |                     Afghanistan                      Taraki   1978   .03680521 |
283. |                      Bangladesh                       Ahmed   1990   .03778442 |
284. |                         Liberia                      Taylor   2003   .03855642 |
285. |                      Bangladesh             Moshtaque Ahmed   1975   .03927835 |
     |--------------------------------------------------------------------------------|
286. |            Cambodia (Kampuchea)                     Lon Nol   1970   .04014765 |
287. |                          Malawi                       Banda   1967   .04019502 |
288. |                     Afghanistan   Sardar Mohammad Daud Khan   1955   .04022341 |
289. |                     Afghanistan           Mahmud Khan Ghazi   1952   .04034081 |
290. |                         Burundi                     Ndadaye   1993   .04036791 |
     +--------------------------------------------------------------------------------+

. 
. 
. *Gowon  .0462493      
. list country leader year _pscore if _id >= 265 & _id <= 314

     +--------------------------------------------------------------------------------------+
     |                               country                      leader   year     _pscore |
     |--------------------------------------------------------------------------------------|
265. |            Burkina Faso (Upper Volta)                     Yameogo   1962   .02756293 |
266. |                                  Mali                      Traore   1991   .02823241 |
267. |                                  Chad                     Oueddei   1980   .02973791 |
268. |        Yemen (Arab Republic of Yemen)                   AL-Sallal   1962     .029796 |
269. |                              Thailand                       Sarit   1958   .03015962 |
     |--------------------------------------------------------------------------------------|
270. |                             Guatemala                  Rios Montt   1983    .0301985 |
271. |                                 Ghana                    Rawlings   1984   .03122675 |
272. |                            Tajikistan                   Rakhmonov   1997   .03212028 |
273. |                               Tunisia           Ben Ali Bourguiba   1962   .03332228 |
274. |                              Pakistan                   Ayub Khan   1959   .03382697 |
     |--------------------------------------------------------------------------------------|
275. |                               Nigeria                    Obasanjo   1976   .03385386 |
276. |                           Afghanistan         Burhanuddin Rabbani   1996   .03451655 |
277. |                              Thailand                       Sanya   1973   .03529962 |
278. |                              Colombia   Roberto Urdaneta Arbelaez   1952   .03535698 |
279. |                                 Haiti          Duvalier, Francois   1968   .03543226 |
     |--------------------------------------------------------------------------------------|
280. |                          Sierra Leone                      Koroma   1997   .03584538 |
281. |                               Morocco                   Hassan II   1971   .03608992 |
282. |                           Afghanistan                      Taraki   1978   .03680521 |
283. |                            Bangladesh                       Ahmed   1990   .03778442 |
284. |                               Liberia                      Taylor   2003   .03855642 |
     |--------------------------------------------------------------------------------------|
285. |                            Bangladesh             Moshtaque Ahmed   1975   .03927835 |
286. |                  Cambodia (Kampuchea)                     Lon Nol   1970   .04014765 |
287. |                                Malawi                       Banda   1967   .04019502 |
288. |                           Afghanistan   Sardar Mohammad Daud Khan   1955   .04022341 |
289. |                           Afghanistan           Mahmud Khan Ghazi   1952   .04034081 |
     |--------------------------------------------------------------------------------------|
290. |                               Burundi                     Ndadaye   1993   .04036791 |
291. |                    Bosnia-Herzegovina                 Izetbegovic   1994   .04059918 |
292. |                                  Peru                    Fujimori   1992   .04133606 |
293. |                               Burundi                      Kinigi   1994   .04436257 |
294. |                                 China               Deng Xiaoping   1981   .04642861 |
     |--------------------------------------------------------------------------------------|
295. |        Yemen (Arab Republic of Yemen)                   Al-Iryani   1967   .04670118 |
296. |                               Nigeria                   Babangida   1990   .04686154 |
297. |                  Cambodia (Kampuchea)                     Hun Sen   1991   .04958304 |
298. |                                  Iraq                  Salem Aref   1964    .0496974 |
299. |                                 China                 Hua Guofeng   1976   .05003653 |
     |--------------------------------------------------------------------------------------|
300. |                  Vietnam, Republic of               Ngo Dinh Diem   1960   .05074912 |
301. |                                 Ghana                     Nkrumah   1962   .05098971 |
302. |                                  Iraq               Karrim Kassem   1961   .05189723 |
303. |                   Zimbabwe (Rhodesia)                       Smith   1969   .05329501 |
304. |                                 Sudan                  al-Khalifa   1964   .05380331 |
     |--------------------------------------------------------------------------------------|
305. |                                 Syria                   Shishakli   1952   .05418871 |
306. |                              Portugal                     Salazar   1961   .05605122 |
307. |                       Myanmar (Burma)                   Saw Maung   1991   .05646395 |
308. |                                  Chad                       Habre   1982    .0575605 |
309. |                       Myanmar (Burma)                   Than Shwe   1992   .05825007 |
     |--------------------------------------------------------------------------------------|
310. | Congo, Democratic Republic of (Zaire)              Laurent Kabila   1998   .05837314 |
311. |                                 Sudan                     Nimeiri   1973    .0600489 |
312. |                                 Spain                      Franco   1957   .06312947 |
313. |                              Ethiopia                Meles Zenawi   1991   .06337283 |
314. |                                 Syria                 Al-Assad H.   1980   .06350393 |
     +--------------------------------------------------------------------------------------+

. 
. 
. * Suharto  .05021121      
. list country leader year _pscore  if _id >= 267 & _id <= 316

     +--------------------------------------------------------------------------------------+
     |                               country                      leader   year     _pscore |
     |--------------------------------------------------------------------------------------|
267. |                                  Chad                     Oueddei   1980   .02973791 |
268. |        Yemen (Arab Republic of Yemen)                   AL-Sallal   1962     .029796 |
269. |                              Thailand                       Sarit   1958   .03015962 |
270. |                             Guatemala                  Rios Montt   1983    .0301985 |
271. |                                 Ghana                    Rawlings   1984   .03122675 |
     |--------------------------------------------------------------------------------------|
272. |                            Tajikistan                   Rakhmonov   1997   .03212028 |
273. |                               Tunisia           Ben Ali Bourguiba   1962   .03332228 |
274. |                              Pakistan                   Ayub Khan   1959   .03382697 |
275. |                               Nigeria                    Obasanjo   1976   .03385386 |
276. |                           Afghanistan         Burhanuddin Rabbani   1996   .03451655 |
     |--------------------------------------------------------------------------------------|
277. |                              Thailand                       Sanya   1973   .03529962 |
278. |                              Colombia   Roberto Urdaneta Arbelaez   1952   .03535698 |
279. |                                 Haiti          Duvalier, Francois   1968   .03543226 |
280. |                          Sierra Leone                      Koroma   1997   .03584538 |
281. |                               Morocco                   Hassan II   1971   .03608992 |
     |--------------------------------------------------------------------------------------|
282. |                           Afghanistan                      Taraki   1978   .03680521 |
283. |                            Bangladesh                       Ahmed   1990   .03778442 |
284. |                               Liberia                      Taylor   2003   .03855642 |
285. |                            Bangladesh             Moshtaque Ahmed   1975   .03927835 |
286. |                  Cambodia (Kampuchea)                     Lon Nol   1970   .04014765 |
     |--------------------------------------------------------------------------------------|
287. |                                Malawi                       Banda   1967   .04019502 |
288. |                           Afghanistan   Sardar Mohammad Daud Khan   1955   .04022341 |
289. |                           Afghanistan           Mahmud Khan Ghazi   1952   .04034081 |
290. |                               Burundi                     Ndadaye   1993   .04036791 |
291. |                    Bosnia-Herzegovina                 Izetbegovic   1994   .04059918 |
     |--------------------------------------------------------------------------------------|
292. |                                  Peru                    Fujimori   1992   .04133606 |
293. |                               Burundi                      Kinigi   1994   .04436257 |
294. |                                 China               Deng Xiaoping   1981   .04642861 |
295. |        Yemen (Arab Republic of Yemen)                   Al-Iryani   1967   .04670118 |
296. |                               Nigeria                   Babangida   1990   .04686154 |
     |--------------------------------------------------------------------------------------|
297. |                  Cambodia (Kampuchea)                     Hun Sen   1991   .04958304 |
298. |                                  Iraq                  Salem Aref   1964    .0496974 |
299. |                                 China                 Hua Guofeng   1976   .05003653 |
300. |                  Vietnam, Republic of               Ngo Dinh Diem   1960   .05074912 |
301. |                                 Ghana                     Nkrumah   1962   .05098971 |
     |--------------------------------------------------------------------------------------|
302. |                                  Iraq               Karrim Kassem   1961   .05189723 |
303. |                   Zimbabwe (Rhodesia)                       Smith   1969   .05329501 |
304. |                                 Sudan                  al-Khalifa   1964   .05380331 |
305. |                                 Syria                   Shishakli   1952   .05418871 |
306. |                              Portugal                     Salazar   1961   .05605122 |
     |--------------------------------------------------------------------------------------|
307. |                       Myanmar (Burma)                   Saw Maung   1991   .05646395 |
308. |                                  Chad                       Habre   1982    .0575605 |
309. |                       Myanmar (Burma)                   Than Shwe   1992   .05825007 |
310. | Congo, Democratic Republic of (Zaire)              Laurent Kabila   1998   .05837314 |
311. |                                 Sudan                     Nimeiri   1973    .0600489 |
     |--------------------------------------------------------------------------------------|
312. |                                 Spain                      Franco   1957   .06312947 |
313. |                              Ethiopia                Meles Zenawi   1991   .06337283 |
314. |                                 Syria                 Al-Assad H.   1980   .06350393 |
315. |                   Tanzania/Tanganyika                      Mwinyi   1988   .06496955 |
316. |                                  Cuba                     Batista   1958   .06801001 |
     +--------------------------------------------------------------------------------------+

. 
. 
. *Al-Bashir (.05465321)       
. list country leader year _pscore  if _id >= 274 & _id <= 323

     +--------------------------------------------------------------------------------------+
     |                               country                      leader   year     _pscore |
     |--------------------------------------------------------------------------------------|
274. |                              Pakistan                   Ayub Khan   1959   .03382697 |
275. |                               Nigeria                    Obasanjo   1976   .03385386 |
276. |                           Afghanistan         Burhanuddin Rabbani   1996   .03451655 |
277. |                              Thailand                       Sanya   1973   .03529962 |
278. |                              Colombia   Roberto Urdaneta Arbelaez   1952   .03535698 |
     |--------------------------------------------------------------------------------------|
279. |                                 Haiti          Duvalier, Francois   1968   .03543226 |
280. |                          Sierra Leone                      Koroma   1997   .03584538 |
281. |                               Morocco                   Hassan II   1971   .03608992 |
282. |                           Afghanistan                      Taraki   1978   .03680521 |
283. |                            Bangladesh                       Ahmed   1990   .03778442 |
     |--------------------------------------------------------------------------------------|
284. |                               Liberia                      Taylor   2003   .03855642 |
285. |                            Bangladesh             Moshtaque Ahmed   1975   .03927835 |
286. |                  Cambodia (Kampuchea)                     Lon Nol   1970   .04014765 |
287. |                                Malawi                       Banda   1967   .04019502 |
288. |                           Afghanistan   Sardar Mohammad Daud Khan   1955   .04022341 |
     |--------------------------------------------------------------------------------------|
289. |                           Afghanistan           Mahmud Khan Ghazi   1952   .04034081 |
290. |                               Burundi                     Ndadaye   1993   .04036791 |
291. |                    Bosnia-Herzegovina                 Izetbegovic   1994   .04059918 |
292. |                                  Peru                    Fujimori   1992   .04133606 |
293. |                               Burundi                      Kinigi   1994   .04436257 |
     |--------------------------------------------------------------------------------------|
294. |                                 China               Deng Xiaoping   1981   .04642861 |
295. |        Yemen (Arab Republic of Yemen)                   Al-Iryani   1967   .04670118 |
296. |                               Nigeria                   Babangida   1990   .04686154 |
297. |                  Cambodia (Kampuchea)                     Hun Sen   1991   .04958304 |
298. |                                  Iraq                  Salem Aref   1964    .0496974 |
     |--------------------------------------------------------------------------------------|
299. |                                 China                 Hua Guofeng   1976   .05003653 |
300. |                  Vietnam, Republic of               Ngo Dinh Diem   1960   .05074912 |
301. |                                 Ghana                     Nkrumah   1962   .05098971 |
302. |                                  Iraq               Karrim Kassem   1961   .05189723 |
303. |                   Zimbabwe (Rhodesia)                       Smith   1969   .05329501 |
     |--------------------------------------------------------------------------------------|
304. |                                 Sudan                  al-Khalifa   1964   .05380331 |
305. |                                 Syria                   Shishakli   1952   .05418871 |
306. |                              Portugal                     Salazar   1961   .05605122 |
307. |                       Myanmar (Burma)                   Saw Maung   1991   .05646395 |
308. |                                  Chad                       Habre   1982    .0575605 |
     |--------------------------------------------------------------------------------------|
309. |                       Myanmar (Burma)                   Than Shwe   1992   .05825007 |
310. | Congo, Democratic Republic of (Zaire)              Laurent Kabila   1998   .05837314 |
311. |                                 Sudan                     Nimeiri   1973    .0600489 |
312. |                                 Spain                      Franco   1957   .06312947 |
313. |                              Ethiopia                Meles Zenawi   1991   .06337283 |
     |--------------------------------------------------------------------------------------|
314. |                                 Syria                 Al-Assad H.   1980   .06350393 |
315. |                   Tanzania/Tanganyika                      Mwinyi   1988   .06496955 |
316. |                                  Cuba                     Batista   1958   .06801001 |
317. |                              Thailand         Plaek Pibulsongkram   1952    .0714955 |
318. |                   Tanzania/Tanganyika                     Nyerere   1967    .0718507 |
     |--------------------------------------------------------------------------------------|
319. |                 Russia (Soviet Union)                    Malenkov   1953    .0724378 |
320. |                              Colombia              Rojas Pinillia   1953   .07318705 |
321. |                                  Chad                     Malloum   1975   .07334639 |
322. |                              Thailand          Thanin Kraivichien   1976   .07339376 |
323. |                              Thailand                      Sangad   1977   .07585032 |
     +--------------------------------------------------------------------------------------+

. 
. 
. * Kayibanda .07333099            
. list country leader year _pscore  if _id >= 291 & _id <= 340

     +--------------------------------------------------------------------------------+
     |                               country                leader   year     _pscore |
     |--------------------------------------------------------------------------------|
291. |                    Bosnia-Herzegovina           Izetbegovic   1994   .04059918 |
292. |                                  Peru              Fujimori   1992   .04133606 |
293. |                               Burundi                Kinigi   1994   .04436257 |
294. |                                 China         Deng Xiaoping   1981   .04642861 |
295. |        Yemen (Arab Republic of Yemen)             Al-Iryani   1967   .04670118 |
     |--------------------------------------------------------------------------------|
296. |                               Nigeria             Babangida   1990   .04686154 |
297. |                  Cambodia (Kampuchea)               Hun Sen   1991   .04958304 |
298. |                                  Iraq            Salem Aref   1964    .0496974 |
299. |                                 China           Hua Guofeng   1976   .05003653 |
300. |                  Vietnam, Republic of         Ngo Dinh Diem   1960   .05074912 |
     |--------------------------------------------------------------------------------|
301. |                                 Ghana               Nkrumah   1962   .05098971 |
302. |                                  Iraq         Karrim Kassem   1961   .05189723 |
303. |                   Zimbabwe (Rhodesia)                 Smith   1969   .05329501 |
304. |                                 Sudan            al-Khalifa   1964   .05380331 |
305. |                                 Syria             Shishakli   1952   .05418871 |
     |--------------------------------------------------------------------------------|
306. |                              Portugal               Salazar   1961   .05605122 |
307. |                       Myanmar (Burma)             Saw Maung   1991   .05646395 |
308. |                                  Chad                 Habre   1982    .0575605 |
309. |                       Myanmar (Burma)             Than Shwe   1992   .05825007 |
310. | Congo, Democratic Republic of (Zaire)        Laurent Kabila   1998   .05837314 |
     |--------------------------------------------------------------------------------|
311. |                                 Sudan               Nimeiri   1973    .0600489 |
312. |                                 Spain                Franco   1957   .06312947 |
313. |                              Ethiopia          Meles Zenawi   1991   .06337283 |
314. |                                 Syria           Al-Assad H.   1980   .06350393 |
315. |                   Tanzania/Tanganyika                Mwinyi   1988   .06496955 |
     |--------------------------------------------------------------------------------|
316. |                                  Cuba               Batista   1958   .06801001 |
317. |                              Thailand   Plaek Pibulsongkram   1952    .0714955 |
318. |                   Tanzania/Tanganyika               Nyerere   1967    .0718507 |
319. |                 Russia (Soviet Union)              Malenkov   1953    .0724378 |
320. |                              Colombia        Rojas Pinillia   1953   .07318705 |
     |--------------------------------------------------------------------------------|
321. |                                  Chad               Malloum   1975   .07334639 |
322. |                              Thailand    Thanin Kraivichien   1976   .07339376 |
323. |                              Thailand                Sangad   1977   .07585032 |
324. |                              Ethiopia                 Andom   1974   .07641861 |
325. |                  Vietnam, Republic of             Van Thieu   1965    .0785563 |
     |--------------------------------------------------------------------------------|
326. |                                Angola                  Neto   1976   .07917152 |
327. |                         Iran (Persia)    Ayatollah Khomeini   1982    .0798302 |
328. |                                 Nepal              Mahendra   1960   .08345881 |
329. |                              Cameroon                  Biya   1984   .08508658 |
330. |                                Uganda              Museveni   1987    .0865024 |
     |--------------------------------------------------------------------------------|
331. |                              Pakistan            Yahya Khan   1971   .08799272 |
332. |                               Burundi                Buyoya   2001   .08819561 |
333. |                                 Kenya              Kenyatta   1969    .0903295 |
334. |                            Bangladesh                Sattar   1981   .09398866 |
335. |                              Ethiopia                 Banti   1975   .09734691 |
     |--------------------------------------------------------------------------------|
336. |                 Russia (Soviet Union)                Stalin   1952   .09788647 |
337. |                            Mozambique              Chissano   1991   .09993682 |
338. |                          Sierra Leone              Strasser   1993    .1003473 |
339. |                                  Laos       Souvanna Phouma   1973   .10082024 |
340. |                            Mozambique                Machel   1976   .10626824 |
     +--------------------------------------------------------------------------------+

. 
. 
. * Pol Pot .0889992      
. list country leader year _pscore  if _id >= 297 & _id <= 346

     +--------------------------------------------------------------------------------+
     |                               country                leader   year     _pscore |
     |--------------------------------------------------------------------------------|
297. |                  Cambodia (Kampuchea)               Hun Sen   1991   .04958304 |
298. |                                  Iraq            Salem Aref   1964    .0496974 |
299. |                                 China           Hua Guofeng   1976   .05003653 |
300. |                  Vietnam, Republic of         Ngo Dinh Diem   1960   .05074912 |
301. |                                 Ghana               Nkrumah   1962   .05098971 |
     |--------------------------------------------------------------------------------|
302. |                                  Iraq         Karrim Kassem   1961   .05189723 |
303. |                   Zimbabwe (Rhodesia)                 Smith   1969   .05329501 |
304. |                                 Sudan            al-Khalifa   1964   .05380331 |
305. |                                 Syria             Shishakli   1952   .05418871 |
306. |                              Portugal               Salazar   1961   .05605122 |
     |--------------------------------------------------------------------------------|
307. |                       Myanmar (Burma)             Saw Maung   1991   .05646395 |
308. |                                  Chad                 Habre   1982    .0575605 |
309. |                       Myanmar (Burma)             Than Shwe   1992   .05825007 |
310. | Congo, Democratic Republic of (Zaire)        Laurent Kabila   1998   .05837314 |
311. |                                 Sudan               Nimeiri   1973    .0600489 |
     |--------------------------------------------------------------------------------|
312. |                                 Spain                Franco   1957   .06312947 |
313. |                              Ethiopia          Meles Zenawi   1991   .06337283 |
314. |                                 Syria           Al-Assad H.   1980   .06350393 |
315. |                   Tanzania/Tanganyika                Mwinyi   1988   .06496955 |
316. |                                  Cuba               Batista   1958   .06801001 |
     |--------------------------------------------------------------------------------|
317. |                              Thailand   Plaek Pibulsongkram   1952    .0714955 |
318. |                   Tanzania/Tanganyika               Nyerere   1967    .0718507 |
319. |                 Russia (Soviet Union)              Malenkov   1953    .0724378 |
320. |                              Colombia        Rojas Pinillia   1953   .07318705 |
321. |                                  Chad               Malloum   1975   .07334639 |
     |--------------------------------------------------------------------------------|
322. |                              Thailand    Thanin Kraivichien   1976   .07339376 |
323. |                              Thailand                Sangad   1977   .07585032 |
324. |                              Ethiopia                 Andom   1974   .07641861 |
325. |                  Vietnam, Republic of             Van Thieu   1965    .0785563 |
326. |                                Angola                  Neto   1976   .07917152 |
     |--------------------------------------------------------------------------------|
327. |                         Iran (Persia)    Ayatollah Khomeini   1982    .0798302 |
328. |                                 Nepal              Mahendra   1960   .08345881 |
329. |                              Cameroon                  Biya   1984   .08508658 |
330. |                                Uganda              Museveni   1987    .0865024 |
331. |                              Pakistan            Yahya Khan   1971   .08799272 |
     |--------------------------------------------------------------------------------|
332. |                               Burundi                Buyoya   2001   .08819561 |
333. |                                 Kenya              Kenyatta   1969    .0903295 |
334. |                            Bangladesh                Sattar   1981   .09398866 |
335. |                              Ethiopia                 Banti   1975   .09734691 |
336. |                 Russia (Soviet Union)                Stalin   1952   .09788647 |
     |--------------------------------------------------------------------------------|
337. |                            Mozambique              Chissano   1991   .09993682 |
338. |                          Sierra Leone              Strasser   1993    .1003473 |
339. |                                  Laos       Souvanna Phouma   1973   .10082024 |
340. |                            Mozambique                Machel   1976   .10626824 |
341. |                              Pakistan                   Zia   1977   .10716416 |
     |--------------------------------------------------------------------------------|
342. | Congo, Democratic Republic of (Zaire)                Mobutu   1960   .11422419 |
343. |                                  Iraq        Saddam Hussein   1984    .1180095 |
344. |                            Bangladesh                Ershad   1982   .12391642 |
345. | Congo, Democratic Republic of (Zaire)              Kasavubu   1962   .12404231 |
346. |                           Philippines                Marcos   1972   .12839896 |
     +--------------------------------------------------------------------------------+

. 
. 
. *  Micombero .1198589      
. list country leader year _pscore if _id >= 306 & _id <= 355

     +--------------------------------------------------------------------------------+
     |                               country                leader   year     _pscore |
     |--------------------------------------------------------------------------------|
306. |                              Portugal               Salazar   1961   .05605122 |
307. |                       Myanmar (Burma)             Saw Maung   1991   .05646395 |
308. |                                  Chad                 Habre   1982    .0575605 |
309. |                       Myanmar (Burma)             Than Shwe   1992   .05825007 |
310. | Congo, Democratic Republic of (Zaire)        Laurent Kabila   1998   .05837314 |
     |--------------------------------------------------------------------------------|
311. |                                 Sudan               Nimeiri   1973    .0600489 |
312. |                                 Spain                Franco   1957   .06312947 |
313. |                              Ethiopia          Meles Zenawi   1991   .06337283 |
314. |                                 Syria           Al-Assad H.   1980   .06350393 |
315. |                   Tanzania/Tanganyika                Mwinyi   1988   .06496955 |
     |--------------------------------------------------------------------------------|
316. |                                  Cuba               Batista   1958   .06801001 |
317. |                              Thailand   Plaek Pibulsongkram   1952    .0714955 |
318. |                   Tanzania/Tanganyika               Nyerere   1967    .0718507 |
319. |                 Russia (Soviet Union)              Malenkov   1953    .0724378 |
320. |                              Colombia        Rojas Pinillia   1953   .07318705 |
     |--------------------------------------------------------------------------------|
321. |                                  Chad               Malloum   1975   .07334639 |
322. |                              Thailand    Thanin Kraivichien   1976   .07339376 |
323. |                              Thailand                Sangad   1977   .07585032 |
324. |                              Ethiopia                 Andom   1974   .07641861 |
325. |                  Vietnam, Republic of             Van Thieu   1965    .0785563 |
     |--------------------------------------------------------------------------------|
326. |                                Angola                  Neto   1976   .07917152 |
327. |                         Iran (Persia)    Ayatollah Khomeini   1982    .0798302 |
328. |                                 Nepal              Mahendra   1960   .08345881 |
329. |                              Cameroon                  Biya   1984   .08508658 |
330. |                                Uganda              Museveni   1987    .0865024 |
     |--------------------------------------------------------------------------------|
331. |                              Pakistan            Yahya Khan   1971   .08799272 |
332. |                               Burundi                Buyoya   2001   .08819561 |
333. |                                 Kenya              Kenyatta   1969    .0903295 |
334. |                            Bangladesh                Sattar   1981   .09398866 |
335. |                              Ethiopia                 Banti   1975   .09734691 |
     |--------------------------------------------------------------------------------|
336. |                 Russia (Soviet Union)                Stalin   1952   .09788647 |
337. |                            Mozambique              Chissano   1991   .09993682 |
338. |                          Sierra Leone              Strasser   1993    .1003473 |
339. |                                  Laos       Souvanna Phouma   1973   .10082024 |
340. |                            Mozambique                Machel   1976   .10626824 |
     |--------------------------------------------------------------------------------|
341. |                              Pakistan                   Zia   1977   .10716416 |
342. | Congo, Democratic Republic of (Zaire)                Mobutu   1960   .11422419 |
343. |                                  Iraq        Saddam Hussein   1984    .1180095 |
344. |                            Bangladesh                Ershad   1982   .12391642 |
345. | Congo, Democratic Republic of (Zaire)              Kasavubu   1962   .12404231 |
     |--------------------------------------------------------------------------------|
346. |                           Philippines                Marcos   1972   .12839896 |
347. |                               Nigeria                Buhari   1985    .1322218 |
348. |                              Ethiopia      Mengistu Marriam   1977   .13476937 |
349. |                 Russia (Soviet Union)            Khrushchev   1955   .14250956 |
350. |                            Bangladesh          Ziaur Rahman   1976   .14392789 |
     |--------------------------------------------------------------------------------|
351. |                              Ethiopia              Selassie   1960   .14602386 |
352. |                       Myanmar (Burma)                Ne Win   1962   .14778366 |
353. |                                  Chad            Tombalbaye   1971   .16015122 |
354. |                             Indonesia               Sukarno   1960   .16916785 |
355. |                              Thailand   Thanon Kittakachorn   1971   .17911089 |
     +--------------------------------------------------------------------------------+

. 
. 
. 
. * Mao Tse-Tung   .22531705      
. list country leader year _pscore if _id >= 346 & _id <= 356

     +--------------------------------------------------------------------------------+
     |                               country                leader   year     _pscore |
     |--------------------------------------------------------------------------------|
346. |                           Philippines                Marcos   1972   .12839896 |
347. |                               Nigeria                Buhari   1985    .1322218 |
348. |                              Ethiopia      Mengistu Marriam   1977   .13476937 |
349. |                 Russia (Soviet Union)            Khrushchev   1955   .14250956 |
350. |                            Bangladesh          Ziaur Rahman   1976   .14392789 |
     |--------------------------------------------------------------------------------|
351. |                              Ethiopia              Selassie   1960   .14602386 |
352. |                       Myanmar (Burma)                Ne Win   1962   .14778366 |
353. |                                  Chad            Tombalbaye   1971   .16015122 |
354. |                             Indonesia               Sukarno   1960   .16916785 |
355. |                              Thailand   Thanon Kittakachorn   1971   .17911089 |
     |--------------------------------------------------------------------------------|
356. | Congo, Democratic Republic of (Zaire)                Mobutu   1965   .18900013 |
     +--------------------------------------------------------------------------------+

. 
. 
. 
. * unmatched controls
. list country leader year _pscore if _id < 193

     +----------------------------------------------------------------------------------+
     |                         country                        leader   year     _pscore |
     |----------------------------------------------------------------------------------|
  1. |                        Honduras                 Suazo Cordova   1985   .00005786 |
  2. |                        Honduras                   Azcona Hoyo   1986   .00006607 |
  3. |                         Rumania                      Vacariou   1992    .0000713 |
  4. |                        Malaysia               Hussein Bin Onn   1977   .00013287 |
  5. |                           Chile          Alessandri Rodriguez   1958   .00015328 |
     |----------------------------------------------------------------------------------|
  6. |                           Nepal          Surya  Bahadur Thapa   1998   .00025155 |
  7. |                           Nepal        Lokendra Bahadur Chand   1997    .0002564 |
  8. |                         Ecuador                   Plaza Lasso   1952   .00026416 |
  9. |                           Nepal            Sher Bahadur Deuba   1995   .00027109 |
 10. |                          Jordan   Hussein Ibn Talal El-Hashim   1991   .00028963 |
     |----------------------------------------------------------------------------------|
 11. |                           Nepal         Girija Prasad Koirala   1991   .00031024 |
 12. |                           Nepal      Krishna Prasad Bhatterai   1990   .00031881 |
 13. |                        Thailand                    Choonhavan   1988   .00036716 |
 14. |                         Ecuador                Ponce Enriquez   1957   .00038976 |
 15. |                         Ecuador                Velasco Ibarra   1953   .00042368 |
     |----------------------------------------------------------------------------------|
 16. |                         Albania                       Berisha   1996   .00046037 |
 17. |                           Chile               Gonzalez Videla   1951   .00046245 |
 18. |                           Chile                  Ibanez Campo   1952   .00046245 |
 19. |                         Georgia                     Ioseliani   1992   .00048724 |
 20. |                            Cuba                 Prio Socarres   1951   .00053334 |
     |----------------------------------------------------------------------------------|
 21. |              Bosnia-Herzegovina              Borislav Paravac   2003    .0005671 |
 22. |                        Malaysia                        Rahman   1969   .00057329 |
 23. |              Bosnia-Herzegovina                       Sarovic   2002   .00057465 |
 24. |              Bosnia-Herzegovina                       Radisic   2001   .00058424 |
 25. |              Bosnia-Herzegovina                       Jelavic   1999   .00060325 |
     |----------------------------------------------------------------------------------|
 26. |              Bosnia-Herzegovina                       Radisic   1998   .00063635 |
 27. |                       Argentina                  Arturo Illia   1964   .00066952 |
 28. |            Cambodia (Kampuchea)                     Ranariddh   1994   .00067234 |
 29. |                           Haiti                      Aristide   2002   .00067695 |
 30. |                        Malaysia                         Razak   1970   .00080003 |
     |----------------------------------------------------------------------------------|
 31. |                     El Salvador                        Molina   1977   .00081369 |
 32. |                        Malaysia          Mahatir Bin Mohammad   1985   .00082163 |
 33. |                     El Salvador                   Romero Mena   1978   .00082919 |
 34. |                         Armenia                 Ter-Petrosyan   1995    .0009722 |
 35. |                         Senegal                         Diouf   1981   .00097527 |
     |----------------------------------------------------------------------------------|
 36. |                            Peru                     Ugarteche   1960   .00104282 |
 37. |                         Bolivia                Paz Estenssoro   1961   .00107534 |
 38. |                          Brazil                       Quadros   1961   .00107974 |
 39. |                     El Salvador             Sanchez Hernandez   1972   .00123761 |
 40. |                 Kyrgyz Republic                        Akayev   1997   .00128683 |
     |----------------------------------------------------------------------------------|
 41. |                     El Salvador                        Rivera   1965   .00132788 |
 42. |                       Argentina                         Guido   1963   .00134814 |
 43. |                        Honduras                    Paz Garcia   1978    .0014101 |
 44. |                           Haiti                        Namphy   1986    .0014661 |
 45. |              Dominican Republic                         Godoy   1966   .00163221 |
     |----------------------------------------------------------------------------------|
 46. |                       Guatemala                 Serrano Elias   1991    .0016462 |
 47. |              Dominican Republic                        Cabral   1964   .00165309 |
 48. |                          Brazil                       Goulart   1963   .00169551 |
 49. |         Turkey (Ottoman Empire)                      Menderes   1955   .00176831 |
 50. |                         Ecuador                        Castro   1966   .00186192 |
     |----------------------------------------------------------------------------------|
 51. |                      Azerbaijan                      Gambarov   1992   .00188097 |
 52. |                           Ghana                         Busia   1970   .00189539 |
 53. |                        Honduras                        Castro   1975   .00195077 |
 54. |                            Laos                     Siphandon   1998   .00199854 |
 55. |                        Pakistan                  Mohammed Ali   1955   .00207757 |
     |----------------------------------------------------------------------------------|
 56. |         Turkey (Ottoman Empire)                         Melen   1972   .00208376 |
 57. |                         Ecuador                Velasco Ibarra   1970   .00216469 |
 58. |                            Iraq              Tommy Ray Franks   2003   .00216972 |
 59. |                            Laos                   Phounsavanh   1992   .00221515 |
 60. |                          Brazil                    Figueiredo   1980   .00225298 |
     |----------------------------------------------------------------------------------|
 61. |                          Uganda                 Paulo Muwanga   1980   .00226533 |
 62. |                          Poland                    Jaruzelski   1982   .00227671 |
 63. |                          Malawi                        Muluzi   2001   .00233448 |
 64. |                        Honduras                Lopez Arellano   1974   .00233693 |
 65. |                         Moldova                        Snegur   1992   .00238438 |
     |----------------------------------------------------------------------------------|
 66. |                         Bolivia                Paz Estenssoro   1955   .00243984 |
 67. |                            Iraq                   Rahmen Aref   1967   .00251955 |
 68. |                          Taiwan              Chiang Ching-Kuo   1978   .00253889 |
 69. |                         Georgia                  Shevardnadze   1994   .00265134 |
 70. |                        Paraguay                    Stroessner   1977   .00268821 |
     |----------------------------------------------------------------------------------|
 71. |                         Tunisia       Zine Al-Abidine Ben Ali   1988   .00269722 |
 72. |              Korea, Republic of                 Chun Doo Hwan   1981   .00279475 |
 73. |                         Ecuador              Arosemena Monroy   1963   .00289795 |
 74. |                       Venezuela                 Perez Jimenez   1952   .00290593 |
 75. |             Tanzania/Tanganyika                         Mkapa   1996    .0030897 |
     |----------------------------------------------------------------------------------|
 76. |                         Ecuador               Arosemena Gomez   1967   .00311415 |
 77. |              Korea, Republic of                  Choi Kuy Hay   1980   .00317776 |
 78. |                          Brazil                        Geisel   1975   .00324915 |
 79. |                         Bolivia                 Natusch Busch   1979   .00330707 |
 80. |                         Bolivia                  Pereda Asbun   1978   .00331119 |
     |----------------------------------------------------------------------------------|
 81. |                         Algeria                      Benjedid   1980   .00345726 |
 82. |                          Mexico                Lopez Portillo   1976    .0035644 |
 83. |                  Czechoslovakia                         Husak   1969   .00358691 |
 84. |                            Iraq                   Paul Bremer   2004    .0035877 |
 85. |                          Taiwan                  Yen Chia-Kan   1975   .00365457 |
     |----------------------------------------------------------------------------------|
 86. |                         Bolivia                 Ovando Candia   1969   .00372262 |
 87. |                           Egypt                       Mubarak   1981   .00380128 |
 88. |                           Chile                      Pinochet   1973   .00384063 |
 89. |                   Cote D�Ivoire                          Guei   1999   .00411449 |
 90. |                          Poland                        Gierek   1971   .00417338 |
     |----------------------------------------------------------------------------------|
 91. |                         Ecuador                Poveda Burbano   1977   .00424534 |
 92. |                           Nepal           Surya Bahadur Thapa   2004   .00425229 |
 93. |                            Peru              Morales Bermudez   1975   .00426165 |
 94. |                           Haiti                  Pierre-Louis   1956   .00428274 |
 95. |                         Algeria                         Bitat   1978   .00442607 |
     |----------------------------------------------------------------------------------|
 96. |                         Albania                          Alia   1986   .00462725 |
 97. |                   Iran (Persia)                 Mohammad Reza   1979   .00462967 |
 98. |                         Bolivia                        Torres   1970   .00463467 |
 99. |            Cambodia (Kampuchea)                       Hun Sen   1997   .00465841 |
100. |                       Argentina                      Frondizi   1960   .00472723 |
     |----------------------------------------------------------------------------------|
101. |                          Greece                  Papadopoulos   1967   .00473793 |
102. |                       Guatemala                   Leon Carpio   1993   .00476737 |
103. |                    Saudi Arabia                          Aziz   1952   .00478989 |
104. |      German Democratic Republic                      Honecker   1971   .00484169 |
105. |                         Bolivia             Barrientos Ortuna   1968   .00484294 |
     |----------------------------------------------------------------------------------|
106. |              Dominican Republic                 de los Santos   1963   .00493515 |
107. |              Dominican Republic                      Balaguer   1969   .00500919 |
108. |                      Bangladesh           Sheikh Mujib Rahman   1974   .00503059 |
109. |                          Poland                       Gomulka   1957   .00506891 |
110. |                         Bolivia            Garcia Meza Tejada   1980   .00509709 |
     |----------------------------------------------------------------------------------|
111. |                          Mexico            Echeverria Alvarez   1970   .00510593 |
112. |                          Poland                         Ochab   1956    .0051586 |
113. |  Yemen (Arab Republic of Yemen)                     Al-Hamadi   1974    .0052792 |
114. |                     El Salvador                     Gutierrez   1980   .00532356 |
115. |                  Czechoslovakia                       Novotny   1957   .00536024 |
     |----------------------------------------------------------------------------------|
116. |                      Azerbaijan              Abulfaz Elchibey   1993   .00536132 |
117. |                         Bolivia                   Siles Zuazo   1958   .00538312 |
118. |                           Haiti               Pascal-Troillet   1991   .00543751 |
119. |                         Bolivia                 Banzer Suarez   1971   .00551568 |
120. |              Dominican Republic                Rafel Trujillo   1961   .00552402 |
     |----------------------------------------------------------------------------------|
121. |                         Burundi                        Buyoya   1992   .00560042 |
122. |                            Iraq                     Faisal II   1958   .00564037 |
123. |                           Haiti                         Avril   1988   .00572402 |
124. |                         Ecuador                Rodriguez Lara   1972   .00581426 |
125. |                     Afghanistan                   Mullah Omar   2000   .00581914 |
     |----------------------------------------------------------------------------------|
126. |                          Mexico                    Diaz Ordaz   1965   .00586535 |
127. |                       Argentina                      Aramburu   1955   .00596667 |
128. |                         Lebanon                   Elias Hrawi   1989   .00597471 |
129. |                         Bolivia             Barrientos Ortuna   1964   .00603284 |
130. |                         Lebanon                          Aoun   1988   .00612347 |
     |----------------------------------------------------------------------------------|
131. |                        Pakistan                    Nazimuddin   1951   .00614608 |
132. |         Turkey (Ottoman Empire)                          Erim   1971   .00621277 |
133. |                          Zambia                       Chiluba   1997   .00626597 |
134. |                            Peru              Velasco Alvarado   1968   .00632971 |
135. |                        Bulgaria                    Chervenkov   1952   .00651843 |
     |----------------------------------------------------------------------------------|
136. | Vietnam, Democratic Republic of                         Phieu   1997   .00652392 |
137. |                           Haiti                        Cedras   1993   .00672502 |
138. |                            Iraq                    Abdul-Ilah   1952   .00675722 |
139. |             Zimbabwe (Rhodesia)                        Mugabe   1995   .00682799 |
140. |                         Lebanon                 Gemayel, Amin   1983   .00687582 |
     |----------------------------------------------------------------------------------|
141. |                         Hungary                         Kadar   1957   .00698131 |
142. |                           Syria                      El-Kudsi   1961   .00704745 |
143. |                           Haiti                        Preval   2000   .00706162 |
144. |                     Afghanistan                   Abdul Zahir   1972   .00707388 |
145. |              Dominican Republic              Bartolome Benoit   1965   .00708706 |
     |----------------------------------------------------------------------------------|
146. |                         Hungary                       Rakoski   1952   .00732143 |
147. |  Yemen (Arab Republic of Yemen)              Saleh al-Hashidi   1978   .00738591 |
148. |                         Morocco                    Mohammed V   1960   .00758458 |
149. |                          Mexico                 Aleman Valdes   1951   .00769634 |
150. |                     Afghanistan             Nur Ahmad Etemadi   1967   .00783177 |
     |----------------------------------------------------------------------------------|
151. |                          Guinea                         Toure   1975   .00784382 |
152. |                     El Salvador                  Magana Borjo   1983   .00790109 |
153. |                     Afghanistan    Mohammad Hashim Maiwandwal   1966   .00790532 |
154. |         Turkey (Ottoman Empire)                         Evren   1980   .00803039 |
155. |                  Czechoslovakia                     Zapotocky   1954   .00804551 |
     |----------------------------------------------------------------------------------|
156. |                       Argentina                       Lanusse   1971   .00809687 |
157. |                    Sierra Leone                       Stevens   1978   .00829051 |
158. | Vietnam, Democratic Republic of                       Do Muoi   1991   .00847352 |
159. |                            Peru                   Perez Godoy   1962   .00850995 |
160. |                          Poland                         Kania   1981   .00894073 |
     |----------------------------------------------------------------------------------|
161. |                    Saudi Arabia                        Faisal   1964   .00897773 |
162. | Vietnam, Democratic Republic of               Nguyen Van Linh   1986    .0090526 |
163. |     Korea, People's Republic of                   Kim Jong-Il   1995   .00906779 |
164. |                         Eritrea                      Afeworki   1994   .00910334 |
165. |      German Democratic Republic                      Ulbricht   1960   .00923858 |
     |----------------------------------------------------------------------------------|
166. |                         Nigeria                      Abubakar   1998    .0093477 |
167. |                        Thailand                   Seni Pramoj   1975    .0094866 |
168. |                        Thailand                     Kriangsak   1978   .00952828 |
169. |                         Lebanon                        Sarkis   1977   .00958328 |
170. |                       Argentina                       Ongania   1966   .00965944 |
     |----------------------------------------------------------------------------------|
171. |                         Burundi                        Bagaza   1987   .00966078 |
172. |                            Cuba                        Castro   1961   .00980941 |
173. |                        Thailand                  Pote Sarasin   1957   .00984362 |
174. |                         Rumania                     Ceausescu   1966   .01015093 |
175. |                           Ghana                    Acheampong   1972   .01058392 |
     |----------------------------------------------------------------------------------|
176. |                           Niger                        Seibou   1990   .01075667 |
177. |                       Nicaragua                 Daniel Ortega   1983   .01093185 |
178. |                            Togo                       Eyadema   1986   .01103562 |
179. |                           Haiti                       Kebreau   1957   .01123049 |
180. |                           Nepal        Lokendra Bahadur Chand   2002   .01125078 |
     |----------------------------------------------------------------------------------|
181. |                      Uzbekistan                       Karimov   1993   .01160563 |
182. |                        Bulgaria                       Zhivkov   1965   .01162158 |
183. |                         Burundi                     Mwambutsa   1965   .01164893 |
184. |                       Argentina                         Peron   1951   .01172382 |
185. |        Central African Republic                       Patasse   1996   .01184723 |
     |----------------------------------------------------------------------------------|
186. |      Burkina Faso (Upper Volta)                      Campaore   1990   .01197472 |
187. |                   Iran (Persia)             Mohammad Mossadeg   1953   .01240776 |
188. |                           Syria                 El-Atassi, N.   1967   .01244332 |
189. |                            Laos                      Phomivan   1990   .01260321 |
190. |                          Brazil                        Medici   1969   .01270973 |
     |----------------------------------------------------------------------------------|
191. |      Burkina Faso (Upper Volta)               J. P. Ouedraogo   1982   .01282547 |
192. |            Vietnam, Republic of                          Minh   1963   .01300623 |
     +----------------------------------------------------------------------------------+

. 
. 
. 
. 
. *****************************************************************;
. *  Column II of Table A.9 of Appendix E   .05 cal, n50           ;              
. *****************************************************************;
. 
. * these take a while; repeat set more off
. set more off

. 
. * Death
. psmatch2 genonset if dem==0, outcome(death) n(50) cal(.05) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           death  Unmatched |          0   .047619048  -.047619048   .067527754    -0.71
                        ATT |          0   .072526316  -.072526316   .027487453    -2.64
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(death) n(50) cal(.05) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
..................................................   100
..................................................   150
..................................................   200
..................................................   250
..................................................   300
..................................................   350
..................................................   400
..................................................   450
..................................................   500
..................................................   550
..................................................   600
..................................................   650
..................................................   700
..................................................   750
..................................................   800
..................................................   850
..................................................   900
..................................................   950
..................................................  1000
..................................................  1050
..................................................  1100
..................................................  1150
..................................................  1200
..................................................  1250
..................................................  1300
..................................................  1350
..................................................  1400
..................................................  1450
..................................................  1500
..................................................  1550
..................................................  1600
..................................................  1650
..................................................  1700
..................................................  1750
..................................................  1800
..................................................  1850
..................................................  1900
..................................................  1950
..................................................  2000
..................................................  2050
..................................................  2100
..................................................  2150
..................................................  2200
..................................................  2250
..................................................  2300
..................................................  2350
..................................................  2400
..................................................  2450
..................................................  2500
..................................................  2550
..................................................  2600
..................................................  2650
..................................................  2700
..................................................  2750
..................................................  2800
..................................................  2850
..................................................  2900
..................................................  2950
..................................................  3000
..................................................  3050
..................................................  3100
..................................................  3150
..................................................  3200
..................................................  3250
..................................................  3300
..................................................  3350
..................................................  3400
..................................................  3450
..................................................  3500
..................................................  3550
..................................................  3600
..................................................  3650
..................................................  3700
..................................................  3750
..................................................  3800
..................................................  3850
..................................................  3900
..................................................  3950
..................................................  4000
..................................................  4050
..................................................  4100
..................................................  4150
..................................................  4200
..................................................  4250
..................................................  4300
..................................................  4350
..................................................  4400
..................................................  4450
..................................................  4500
..................................................  4550
..................................................  4600
..................................................  4650
..................................................  4700
..................................................  4750
..................................................  4800
..................................................  4850
..................................................  4900
..................................................  4950
..................................................  5000

Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(death) n(50) cal(.05) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.0725263   .0291543    -2.49   0.013    -.1296677   -.0153849
------------------------------------------------------------------------------

. 
. * Imprisonment
. psmatch2 genonset if dem==0, outcome(prison) n(50) cal(.05) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
          prison  Unmatched |          0   .058823529  -.058823529   .074610108    -0.79
                        ATT |          0   .045263158  -.045263158    .02525704    -1.79
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(prison) n(50) cal(.05) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
..................................................   100
..................................................   150
..................................................   200
..................................................   250
..................................................   300
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..................................................   650
..................................................   700
..................................................   750
..................................................   800
..................................................   850
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..................................................  1150
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..................................................  1950
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..................................................  4700
..................................................  4750
..................................................  4800
..................................................  4850
..................................................  4900
..................................................  4950
..................................................  5000

Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(prison) n(50) cal(.05) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.0452632    .021157    -2.14   0.032    -.0867301   -.0037962
------------------------------------------------------------------------------

. 
. * Exile
. psmatch2 genonset if dem==0, outcome(exile) n(50) cal(.05) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           exile  Unmatched |         .1    .19047619   -.09047619   .125528777    -0.72
                        ATT |         .1   .264526316  -.164526316   .108005623    -1.52
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(exile) n(50) cal(.05) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
..................................................   100
..................................................   150
..................................................   200
..................................................   250
..................................................   300
..................................................   350
..................................................   400
..................................................   450
..................................................   500
..................................................   550
..................................................   600
..................................................   650
..................................................   700
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..................................................  1000
..................................................  1050
..................................................  1100
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..................................................  2250
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..................................................  3250
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..................................................  4750
..................................................  4800
..................................................  4850
..................................................  4900
....................................x.............  4950
..................................................  5000

Bootstrap results                               Number of obs      =       367
                                                Replications       =      4999

      command:  psmatch2 genonset, outcome(exile) n(50) cal(.05) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.1645263   .1466808    -1.12   0.262    -.4520155    .1229629
------------------------------------------------------------------------------
Note: one or more parameters could not be estimated in 1 bootstrap replicate;
      standard-error estimates include only complete replications.

. 
. * External Irregular Exit
. psmatch2 genonset if dem==0, outcome(foreign_x_yrs) n(50) cal(.05) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
   foreign_x_yrs  Unmatched |         .2   .047619048   .152380952   .070785822     2.15
                        ATT |         .2   .121263158   .078736842   .135922519     0.58
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(foreign_x_yrs) n(50) cal(.05) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
..................................................   100
..................................................   150
..................................................   200
..................................................   250
..................................................   300
..................................................   350
..................................................   400
..................................................   450
..................................................   500
..................................................   550
..................................................   600
..................................................   650
..................................................   700
..................................................   750
..................................................   800
..................................................   850
..................................................   900
..................................................   950
..................................................  1000
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..................................................  1200
..................................................  1250
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..................................................  4700
..................................................  4750
..................................................  4800
..................................................  4850
..................................................  4900
..................................................  4950
..................................................  5000

Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(foreign_x_yrs) n(50) cal(.05) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |   .0787368   .1616091     0.49   0.626    -.2380111    .3954848
------------------------------------------------------------------------------

. 
. * Internal Irregular Exit
. psmatch2 genonset if dem==0, outcome(internal_x_yrs) n(50) cal(.05) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
  internal_x_yrs  Unmatched |         .1   .263305322  -.163305322   .140560781    -1.16
                        ATT |         .1   .301578947  -.201578947   .110805526    -1.82
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(internal_x_yrs) n(50) cal(.05) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
..................................................   100
..................................................   150
..................................................   200
..................................................   250
..................................................   300
..................................................   350
..................................................   400
..................................................   450
..................................................   500
..................................................   550
..................................................   600
..................................................   650
..................................................   700
..................................................   750
..................................................   800
..................................................   850
..................................................   900
..................................................   950
..................................................  1000
..................................................  1050
..................................................  1100
..................................................  1150
..................................................  1200
..................................................  1250
..................................................  1300
..................................................  1350
..................................................  1400
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..................................................  1500
..................................................  1550
..................................................  1600
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..................................................  1900
..................................................  1950
..................................................  2000
..................................................  2050
..................................................  2100
..................................................  2150
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..................................................  3250
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..................................................  4000
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..................................................  4100
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..................................................  4250
..................................................  4300
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..................................................  4700
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..................................................  4800
..................................................  4850
..................................................  4900
..................................................  4950
..................................................  5000

Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(internal_x_yrs) n(50) cal(.05) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.2015789   .1189753    -1.69   0.090    -.4347663    .0316084
------------------------------------------------------------------------------

. 
. * Irregular Exit (any)
. psmatch2 genonset if dem==0, outcome(irreg_x_yrs) n(50) cal(.05) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
     irreg_x_yrs  Unmatched |         .3    .31092437   -.01092437    .14877465    -0.07
                        ATT |         .3   .422842105  -.122842105   .160872728    -0.76
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(irreg_x_yrs) n(50) cal(.05) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
..................................................   100
..................................................   150
..................................................   200
..................................................   250
..................................................   300
..................................................   350
..................................................   400
..................................................   450
..................................................   500
..................................................   550
..................................................   600
..................................................   650
..................................................   700
..................................................   750
..................................................   800
..................................................   850
..................................................   900
..................................................   950
..................................................  1000
..................................................  1050
..................................................  1100
..................................................  1150
..................................................  1200
..................................................  1250
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..................................................  1350
..................................................  1400
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..................................................  1500
..................................................  1550
..................................................  1600
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..................................................  1700
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..................................................  1800
..................................................  1850
..................................................  1900
..................................................  1950
..................................................  2000
..................................................  2050
..................................................  2100
..................................................  2150
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..................................................  2300
..................................................  2350
..................................................  2400
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..................................................  2500
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..................................................  2600
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..................................................  2800
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..................................................  3000
..................................................  3050
..................................................  3100
..................................................  3150
..................................................  3200
..................................................  3250
..................................................  3300
..................................................  3350
..................................................  3400
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..................................................  3600
..................................................  3650
..................................................  3700
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..................................................  3800
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..................................................  3900
..................................................  3950
..................................................  4000
..................................................  4050
..................................................  4100
..................................................  4150
..................................................  4200
..................................................  4250
..................................................  4300
..................................................  4350
..................................................  4400
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..................................................  4650
..................................................  4700
..................................................  4750
..................................................  4800
..................................................  4850
..................................................  4900
..................................................  4950
..................................................  5000

Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(irreg_x_yrs) n(50) cal(.05) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.1228421     .18732    -0.66   0.512    -.4899825    .2442983
------------------------------------------------------------------------------

. 
. 
. 
. *****************************************************************;
. *  Column III of Table A.9 of Appendix E, 3 years  .1 cal, n50   ;              
. *****************************************************************;
. 
. * these take a while; repeat set more off
. set more off

. 
. * Death
. psmatch2 genonset if dem==0, outcome(death3yrs) n(50) cal(.1) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
       death3yrs  Unmatched |          0   .033613445  -.033613445   .057150305    -0.59
                        ATT |          0         .056        -.056   .018822896    -2.98
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(death3yrs) n(50) cal(.1) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
..................................................   100
..................................................   150
..................................................   200
..................................................   250
..................................................   300
..................................................   350
..................................................   400
..................................................   450
..................................................   500
..................................................   550
..................................................   600
..................................................   650
..................................................   700
..................................................   750
..................................................   800
..................................................   850
..................................................   900
..................................................   950
..................................................  1000
..................................................  1050
..................................................  1100
..................................................  1150
..................................................  1200
..................................................  1250
..................................................  1300
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..................................................  1400
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..................................................  1500
..................................................  1550
..................................................  1600
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..................................................  1800
..................................................  1850
..................................................  1900
..................................................  1950
..................................................  2000
..................................................  2050
..................................................  2100
..................................................  2150
..................................................  2200
..................................................  2250
..................................................  2300
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..................................................  2400
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..................................................  2500
..................................................  2550
..................................................  2600
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..................................................  2700
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..................................................  2800
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..................................................  2900
..................................................  2950
..................................................  3000
..................................................  3050
..................................................  3100
..................................................  3150
..................................................  3200
..................................................  3250
..................................................  3300
..................................................  3350
..................................................  3400
..................................................  3450
..................................................  3500
..................................................  3550
..................................................  3600
..................................................  3650
..................................................  3700
..................................................  3750
..................................................  3800
..................................................  3850
..................................................  3900
..................................................  3950
..................................................  4000
..................................................  4050
..................................................  4100
..................................................  4150
..................................................  4200
..................................................  4250
..................................................  4300
..................................................  4350
..................................................  4400
..................................................  4450
..................................................  4500
..................................................  4550
..................................................  4600
..................................................  4650
..................................................  4700
..................................................  4750
..................................................  4800
..................................................  4850
..................................................  4900
..................................................  4950
..................................................  5000

Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(death3yrs) n(50) cal(.1) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |      -.056   .0253429    -2.21   0.027    -.1056713   -.0063287
------------------------------------------------------------------------------

. 
. * Imprisonment
. psmatch2 genonset if dem==0, outcome(prison3yrs) n(50) cal(.1) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
      prison3yrs  Unmatched |          0   .039215686  -.039215686   .061550199    -0.64
                        ATT |          0         .026        -.026   .016405268    -1.58
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(prison3yrs) n(50) cal(.1) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
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..................................................  4800
..................................................  4850
..................................................  4900
..................................................  4950
..................................................  5000

Bootstrap results                               Number of obs      =       367
                                                Replications       =      4999

      command:  psmatch2 genonset, outcome(prison3yrs) n(50) cal(.1) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |      -.026   .0153373    -1.70   0.090    -.0560606    .0040606
------------------------------------------------------------------------------
Note: one or more parameters could not be estimated in 1 bootstrap replicate;
      standard-error estimates include only complete replications.

. 
. * Exile
. psmatch2 genonset if dem==0, outcome(exile3) n(50) cal(.1) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
       exile3yrs  Unmatched |          0   .148459384  -.148459384   .112743915    -1.32
                        ATT |          0   .140181818  -.140181818   .029780684    -4.71
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(exile3) n(50) cal(.1) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
..................................................   100
..................................................   150
..................................................   200
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..................................................  4750
..................................................  4800
..................................................  4850
..................................................  4900
..................................................  4950
..................................................  5000

Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(exile3) n(50) cal(.1) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.1401818   .0378684    -3.70   0.000    -.2144025   -.0659612
------------------------------------------------------------------------------

. 
. * External Irregular Exit
. psmatch2 genonset if dem==0, outcome(foreign_3_yrs) n(50) cal(.1) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
   foreign_3_yrs  Unmatched |         .1   .042016807   .057983193   .065579549     0.88
                        ATT |         .1   .075090909   .024909091    .10216261     0.24
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(foreign_3_yrs) n(50) cal(.1) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
..................................................   100
..................................................   150
..................................................   200
..................................................   250
..................................................   300
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..................................................   400
..................................................   450
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..................................................  4000
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..................................................  4150
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..................................................  4700
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..................................................  4800
..................................................  4850
..................................................  4900
..................................................  4950
..................................................  5000

Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(foreign_3_yrs) n(50) cal(.1) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |   .0249091   .1111993     0.22   0.823    -.1930375    .2428557
------------------------------------------------------------------------------

. 
. * Internal Irregular Exit
. psmatch2 genonset if dem==0, outcome(internal_3_yrs) n(50) cal(.1) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
  internal_3_yrs  Unmatched |          0   .196078431  -.196078431   .125894962    -1.56
                        ATT |          0   .181090909  -.181090909   .034212579    -5.29
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(internal_3_yrs) n(50) cal(.1) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
..................................................   100
..................................................   150
..................................................   200
..................................................   250
..................................................   300
..................................................   350
..................................................   400
..................................................   450
..................................................   500
..................................................   550
..................................................   600
..................................................   650
..................................................   700
..................................................   750
..................................................   800
..................................................   850
..................................................   900
..................................................   950
..................................................  1000
..................................................  1050
..................................................  1100
..................................................  1150
..................................................  1200
..................................................  1250
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..................................................  1400
..................................................  1450
..................................................  1500
..................................................  1550
..................................................  1600
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..................................................  1800
..................................................  1850
..................................................  1900
..................................................  1950
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..................................................  2150
..................................................  2200
..................................................  2250
..................................................  2300
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..................................................  2950
..................................................  3000
..................................................  3050
..................................................  3100
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...x..............................................  4000
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..................................................  4700
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..................................................  4800
..................................................  4850
..................................................  4900
..................................................  4950
..................................................  5000

Bootstrap results                               Number of obs      =       367
                                                Replications       =      4999

      command:  psmatch2 genonset, outcome(internal_3_yrs) n(50) cal(.1) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.1810909   .0393285    -4.60   0.000    -.2581734   -.1040084
------------------------------------------------------------------------------
Note: one or more parameters could not be estimated in 1 bootstrap replicate;
      standard-error estimates include only complete replications.

. 
. * Irregular Exit (any)
. psmatch2 genonset if dem==0, outcome(irreg_3_yrs) n(50) cal(.1) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
     irreg_3_yrs  Unmatched |         .1   .238095238  -.138095238   .135990707    -1.02
                        ATT |         .1   .256181818  -.156181818   .106919055    -1.46
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(irreg_3_yrs) n(50) cal(.1) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
..................................................   100
..................................................   150
..................................................   200
..................................................   250
..................................................   300
..................................................   350
..................................................   400
..................................................   450
..................................................   500
..................................................   550
..................................................   600
..................................................   650
..................................................   700
..................................................   750
..................................................   800
..................................................   850
..................................................   900
..................................................   950
..................................................  1000
..................................................  1050
..................................................  1100
..................................................  1150
..................................................  1200
..................................................  1250
..................................................  1300
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..................................................  1400
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..................................................  1500
..................................................  1550
..................................................  1600
..................................................  1650
..................................................  1700
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..................................................  1800
..................................................  1850
..................................................  1900
..................................................  1950
..................................................  2000
..................................................  2050
..................................................  2100
..................................................  2150
..................................................  2200
..................................................  2250
..................................................  2300
..................................................  2350
..................................................  2400
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..................................................  2500
..................................................  2550
..................................................  2600
..................................................  2650
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..................................................  2800
..................................................  2850
..................................................  2900
..................................................  2950
..................................................  3000
..................................................  3050
..................................................  3100
..................................................  3150
..................................................  3200
..................................................  3250
..................................................  3300
..................................................  3350
..................................................  3400
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..................................................  3500
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..................................................  3600
..................................................  3650
..................................................  3700
..................................................  3750
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..................................................  3900
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..................................................  4000
..................................................  4050
..................................................  4100
..................................................  4150
..................................................  4200
..................................................  4250
..................................................  4300
..................................................  4350
..................................................  4400
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..................................................  4500
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..................................................  4650
..................................................  4700
..................................................  4750
..................................................  4800
..................................................  4850
..................................................  4900
..................................................  4950
..................................................  5000

Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(irreg_3_yrs) n(50) cal(.1) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.1561818   .1126157    -1.39   0.165    -.3769046     .064541
------------------------------------------------------------------------------

. 
. 
. 
. *****************************************************************;
. *  Column IV of Table A.9 of Appendix E, 3 years  .05 cal, n50   ;              
. *****************************************************************;
. 
. * these take a while; repeat set more off
. set more off

. 
. * Death
. psmatch2 genonset if dem==0, outcome(death3yrs) n(50) cal(.05) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
       death3yrs  Unmatched |          0   .033613445  -.033613445   .057150305    -0.59
                        ATT |          0   .055263158  -.055263158   .022736802    -2.43
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(death3yrs) n(50) cal(.05) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
..................................................   100
..................................................   150
..................................................   200
..................................................   250
..................................................   300
..................................................   350
..................................................   400
..................................................   450
..................................................   500
..................................................   550
..................................................   600
..................................................   650
..................................................   700
..................................................   750
..................................................   800
..................................................   850
..................................................   900
..................................................   950
..................................................  1000
..................................................  1050
..................................................  1100
..................................................  1150
..................................................  1200
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..................................................  2100
..................................................  2150
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..................................................  2250
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..................................................  3000
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..................................................  3100
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..................................................  3250
..................................................  3300
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..................................................  3600
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..................................................  4000
..................................................  4050
..................................................  4100
..................................................  4150
..................................................  4200
..................................................  4250
..................................................  4300
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..................................................  4450
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..................................................  4600
..................................................  4650
..................................................  4700
..................................................  4750
..................................................  4800
..................................................  4850
..................................................  4900
..................................................  4950
..................................................  5000

Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(death3yrs) n(50) cal(.05) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.0552632   .0252419    -2.19   0.029    -.1047363     -.00579
------------------------------------------------------------------------------

. 
. * Imprisonment
. psmatch2 genonset if dem==0, outcome(prison3yrs) n(50) cal(.05) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
      prison3yrs  Unmatched |          0   .039215686  -.039215686   .061550199    -0.64
                        ATT |          0   .026631579  -.026631579   .019816468    -1.34
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(prison3yrs) n(50) cal(.05) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
..................................................   100
..................................................   150
..................................................   200
..................................................   250
..................................................   300
..................................................   350
..................................................   400
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Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(prison3yrs) n(50) cal(.05) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.0266316   .0159696    -1.67   0.095    -.0579314    .0046683
------------------------------------------------------------------------------

. 
. * Exile
. psmatch2 genonset if dem==0, outcome(exile3yrs) n(50) cal(.05) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
       exile3yrs  Unmatched |          0   .148459384  -.148459384   .112743915    -1.32
                        ATT |          0   .216631579  -.216631579   .035973078    -6.02
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(exile3yrs) n(50) cal(.05) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
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Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(exile3yrs) n(50) cal(.05) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.2166316   .0936064    -2.31   0.021    -.4000968   -.0331664
------------------------------------------------------------------------------

. 
. * External Irregular Exit
. psmatch2 genonset if dem==0, outcome(foreign_3_yrs) n(50) cal(.05) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
   foreign_3_yrs  Unmatched |         .1   .042016807   .057983193   .065579549     0.88
                        ATT |         .1   .112631579  -.012631579   .103140283    -0.12
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(foreign_3_yrs) n(50) cal(.05) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
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Bootstrap results                               Number of obs      =       367
                                                Replications       =      4999

      command:  psmatch2 genonset, outcome(foreign_3_yrs) n(50) cal(.05) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.0126316   .1325403    -0.10   0.924    -.2724058    .2471427
------------------------------------------------------------------------------
Note: one or more parameters could not be estimated in 1 bootstrap replicate;
      standard-error estimates include only complete replications.

. 
. * Internal Irregular Exit
. psmatch2 genonset if dem==0, outcome(internal_3_yrs) n(50) cal(.05) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
  internal_3_yrs  Unmatched |          0   .196078431  -.196078431   .125894962    -1.56
                        ATT |          0   .221789474  -.221789474   .041326512    -5.37
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(internal_3_yrs) n(50) cal(.05) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
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Bootstrap results                               Number of obs      =       367
                                                Replications       =      4999

      command:  psmatch2 genonset, outcome(internal_3_yrs) n(50) cal(.05) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.2217895    .070098    -3.16   0.002    -.3591791   -.0843999
------------------------------------------------------------------------------
Note: one or more parameters could not be estimated in 1 bootstrap replicate;
      standard-error estimates include only complete replications.

. 
. * Irregular Exit (any)
. psmatch2 genonset if dem==0, outcome(irreg_3_yrs) n(50) cal(.05) pscore(pscore) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
     irreg_3_yrs  Unmatched |         .1   .238095238  -.138095238   .135990707    -1.02
                        ATT |         .1   .334421053  -.234421053   .109949873    -2.13
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(irreg_3_yrs) n(50) cal(.05) pscore(pscore) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
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Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(irreg_3_yrs) n(50) cal(.05) pscore(pscore) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.2344211   .1376268    -1.70   0.089    -.5041646    .0353225
------------------------------------------------------------------------------

. 
. 
. 
. 
. ****************************************************************************
. ****************************************************************************
. ****                                                                    ****
. ****      Horizontal inequality                                         ****
. ****                                                                    ****
. ****************************************************************************
. ****************************************************************************
. 
. 
. 
. * use most at-risk observation per leader estimated with horizontal inequality
. use  "leader_fates_HI_data.dta", clear

. 
. 
. 
. *****************************************************************;
. *   generate propensity score with discriminate                          ;      
. *****************************************************************;
. 
. pscore genonset altcoup_risk lgdppcl lpopl polity discriminate guerrilla tenure newleader2 Banks_purge,  pscore(ps_alt) numblo(4)
>  level(.1) 



**************************************************** 
Algorithm to estimate the propensity score 
**************************************************** 


The treatment is genonset

  Genocidal |
Consolidati |
   on Onset |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        357       97.28       97.28
          1 |         10        2.72      100.00
------------+-----------------------------------
      Total |        367      100.00



Estimation of the propensity score 

Iteration 0:   log likelihood = -45.890273
Iteration 1:   log likelihood = -38.888736
Iteration 2:   log likelihood = -37.828073
Iteration 3:   log likelihood = -37.735785
Iteration 4:   log likelihood = -37.734082
Iteration 5:   log likelihood = -37.734081

Probit regression                                 Number of obs   =        367
                                                  LR chi2(9)      =      16.31
                                                  Prob > chi2     =     0.0606
Log likelihood = -37.734081                       Pseudo R2       =     0.1777

------------------------------------------------------------------------------
    genonset |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
altcoup_risk |     .40376   .3335854     1.21   0.226    -.2500553    1.057575
     lgdppcl |  -.2817691   .1803134    -1.56   0.118    -.6351768    .0716387
       lpopl |   .1953267   .1279592     1.53   0.127    -.0554687    .4461221
      polity |  -.0902316   .0896406    -1.01   0.314    -.2659239    .0854608
discriminate |   .4303754   .3189773     1.35   0.177    -.1948087    1.055559
   guerrilla |   .7189517   .3220821     2.23   0.026     .0876824    1.350221
      tenure |  -.0107893   .0349267    -0.31   0.757    -.0792444    .0576659
  newleader2 |  -.4146136   .3672089    -1.13   0.259     -1.13433    .3051026
 Banks_purge |   -.100922   .3744997    -0.27   0.788    -.8349278    .6330839
       _cons |  -1.905399   1.793383    -1.06   0.288    -5.420365    1.609567
------------------------------------------------------------------------------



Description of the estimated propensity score 

                 Estimated propensity score
-------------------------------------------------------------
      Percentiles      Smallest
 1%     .0000439       .0000166
 5%     .0002074       .0000187
10%     .0006612       .0000227       Obs                 367
25%      .002842       .0000439       Sum of Wgt.         367

50%     .0104385                      Mean           .0273465
                        Largest       Std. Dev.      .0429998
75%     .0352063        .217956
90%     .0713324       .2296067       Variance        .001849
95%     .1254031       .2322195       Skewness       2.877757
99%      .217956       .3048272       Kurtosis       12.88752



****************************************************** 
Step 1: Identification of the optimal number of blocks 
Use option detail if you want more detailed output 
****************************************************** 


The final number of blocks is 6

This number of blocks ensures that the mean propensity score
is not different for treated and controls in each blocks



********************************************************** 
Step 2: Test of balancing property of the propensity score 
Use option detail if you want more detailed output 
********************************************************** 


The balancing property is satisfied 


This table shows the inferior bound, the number of treated
and the number of controls for each block 

  Inferior |       Genocidal
  of block |  Consolidation Onset
of pscore  |         0          1 |     Total
-----------+----------------------+----------
         0 |       270          1 |       271 
    .03125 |        45          6 |        51 
     .0625 |        25          1 |        26 
      .125 |        12          1 |        13 
     .1875 |         4          1 |         5 
       .25 |         1          0 |         1 
-----------+----------------------+----------
     Total |       357         10 |       367 



******************************************* 
End of the algorithm to estimate the pscore 
******************************************* 

. 
. 
. 
. 
. *****************************************************************;
. *   Table A.12 of Appendix G                                     ;
. *   balance of various matching specifications with HI           ;              
. *****************************************************************;
. 
. 
. psmatch2 genonset if dem==0, outcome(death) radius cal(.01) pscore(ps_alt) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           death  Unmatched |          0   .047619048  -.047619048   .067527754    -0.71
                        ATT |          0   .053239401  -.053239401   .035680913    -1.49
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. pstest altcoup_risk lgdppcl lpopl polity discriminate guerrilla tenure newleader2 Banks_purge, both t(genonset) graph

----------------------------------------------------------------------------------------
                Unmatched |       Mean               %reduct |     t-test    |  V(T)/
Variable          Matched | Treated Control    %bias  |bias| |    t    p>|t| |  V(C)
--------------------------+----------------------------------+---------------+----------
altcoup_risk           U  |     .6   .43697     32.2         |   1.02  0.307 |  1.08
                       M  |     .6   .57144      5.6    82.5 |   0.12  0.903 |  0.98
                          |                                  |               |
lgdppcl                U  | 6.0225   6.6038    -58.5         |  -2.04  0.042 |  1.55
                       M  | 6.0225   6.1032     -8.1    86.1 |  -0.17  0.864 |  1.24
                          |                                  |               |
lpopl                  U  | 9.9577   9.4137     38.0         |   1.50  0.135 |  2.29
                       M  | 9.9577   9.7943     11.4    70.0 |   0.25  0.808 |  1.86
                          |                                  |               |
polity                 U  |    5.1   6.5826    -61.5         |  -1.46  0.144 |  0.14*
                       M  |    5.1   4.8296     11.2    81.8 |   0.43  0.675 |  0.55
                          |                                  |               |
discriminate           U  |     .5   .31653     36.9         |   1.22  0.222 |  1.28
                       M  |     .5    .5683    -13.7    62.8 |  -0.29  0.774 |  1.02
                          |                                  |               |
guerrilla              U  |     .6   .28011     66.1         |   2.21  0.028 |  1.32
                       M  |     .6   .54535     11.3    82.9 |   0.23  0.817 |  0.97
                          |                                  |               |
tenure                 U  |    4.7    3.549     20.6         |   0.69  0.488 |  1.37
                       M  |    4.7   4.4309      4.8    76.6 |   0.12  0.909 |  2.08
                          |                                  |               |
newleader2             U  |     .5   .65546    -31.0         |  -1.02  0.310 |  1.23
                       M  |     .5   .44872     10.2    67.0 |   0.22  0.830 |  1.01
                          |                                  |               |
Banks_purge            U  |     .3    .2437     12.3         |   0.41  0.684 |  1.26
                       M  |     .3   .18004     26.2  -113.1 |   0.60  0.555 |  1.42
                          |                                  |               |
----------------------------------------------------------------------------------------
* if variance ratio outside [0.25; 4.03] for U and [0.25; 4.03] for M

-----------------------------------------------------------------------------------
 Sample    | Ps R2   LR chi2   p>chi2   MeanBias   MedBias      B      R     %Var
-----------+-----------------------------------------------------------------------
 Unmatched | 0.178     16.31    0.061     39.7      36.9     147.3*   0.37*    11
 Matched   | 0.038      1.05    0.999     11.4      11.2      44.2*   0.55      0
-----------------------------------------------------------------------------------
* if B>25%, R outside [0.5; 2]

. 
. psmatch2 genonset if dem==0, outcome(death) radius cal(.02) pscore(ps_alt) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           death  Unmatched |          0   .047619048  -.047619048   .067527754    -0.71
                        ATT |          0   .084250163  -.084250163   .026682738    -3.16
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. pstest altcoup_risk lgdppcl lpopl polity discriminate guerrilla tenure newleader2 Banks_purge, both t(genonset) graph

----------------------------------------------------------------------------------------
                Unmatched |       Mean               %reduct |     t-test    |  V(T)/
Variable          Matched | Treated Control    %bias  |bias| |    t    p>|t| |  V(C)
--------------------------+----------------------------------+---------------+----------
altcoup_risk           U  |     .6   .43697     32.2         |   1.02  0.307 |  1.08
                       M  |     .6   .61698     -3.4    89.6 |  -0.07  0.942 |  1.02
                          |                                  |               |
lgdppcl                U  | 6.0225   6.6038    -58.5         |  -2.04  0.042 |  1.55
                       M  | 6.0225   6.2253    -20.4    65.1 |  -0.45  0.656 |  1.51
                          |                                  |               |
lpopl                  U  | 9.9577   9.4137     38.0         |   1.50  0.135 |  2.29
                       M  | 9.9577   9.8386      8.3    78.1 |   0.18  0.859 |  1.85
                          |                                  |               |
polity                 U  |    5.1   6.5826    -61.5         |  -1.46  0.144 |  0.14*
                       M  |    5.1    5.054      1.9    96.9 |   0.07  0.944 |  0.53
                          |                                  |               |
discriminate           U  |     .5   .31653     36.9         |   1.22  0.222 |  1.28
                       M  |     .5   .55581    -11.2    69.6 |  -0.24  0.815 |  1.01
                          |                                  |               |
guerrilla              U  |     .6   .28011     66.1         |   2.21  0.028 |  1.32
                       M  |     .6   .56889      6.4    90.3 |   0.13  0.895 |  0.98
                          |                                  |               |
tenure                 U  |    4.7    3.549     20.6         |   0.69  0.488 |  1.37
                       M  |    4.7   3.7963     16.1    21.5 |   0.38  0.706 |  1.87
                          |                                  |               |
newleader2             U  |     .5   .65546    -31.0         |  -1.02  0.310 |  1.23
                       M  |     .5   .52992     -6.0    80.8 |  -0.13  0.900 |  1.00
                          |                                  |               |
Banks_purge            U  |     .3    .2437     12.3         |   0.41  0.684 |  1.26
                       M  |     .3   .24646     11.7     4.9 |   0.26  0.801 |  1.13
                          |                                  |               |
----------------------------------------------------------------------------------------
* if variance ratio outside [0.25; 4.03] for U and [0.25; 4.03] for M

-----------------------------------------------------------------------------------
 Sample    | Ps R2   LR chi2   p>chi2   MeanBias   MedBias      B      R     %Var
-----------+-----------------------------------------------------------------------
 Unmatched | 0.178     16.31    0.061     39.7      36.9     147.3*   0.37*    11
 Matched   | 0.026      0.72    1.000      9.5       8.3      36.2*   0.99      0
-----------------------------------------------------------------------------------
* if B>25%, R outside [0.5; 2]

. 
. psmatch2 genonset if dem==0, outcome(death) radius cal(.05) pscore(ps_alt) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           death  Unmatched |          0   .047619048  -.047619048   .067527754    -0.71
                        ATT |          0   .087232896  -.087232896   .018194304    -4.79
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. pstest altcoup_risk lgdppcl lpopl polity discriminate guerrilla tenure newleader2 Banks_purge, both t(genonset) graph

----------------------------------------------------------------------------------------
                Unmatched |       Mean               %reduct |     t-test    |  V(T)/
Variable          Matched | Treated Control    %bias  |bias| |    t    p>|t| |  V(C)
--------------------------+----------------------------------+---------------+----------
altcoup_risk           U  |     .6   .43697     32.2         |   1.02  0.307 |  1.08
                       M  |     .6   .54989      9.9    69.3 |   0.22  0.832 |  0.97
                          |                                  |               |
lgdppcl                U  | 6.0225   6.6038    -58.5         |  -2.04  0.042 |  1.55
                       M  | 6.0225   6.3761    -35.6    39.2 |  -0.77  0.454 |  1.29
                          |                                  |               |
lpopl                  U  | 9.9577   9.4137     38.0         |   1.50  0.135 |  2.29
                       M  | 9.9577    9.684     19.1    49.7 |   0.42  0.682 |  1.95
                          |                                  |               |
polity                 U  |    5.1   6.5826    -61.5         |  -1.46  0.144 |  0.14*
                       M  |    5.1   5.9998    -37.3    39.3 |  -0.88  0.389 |  0.16*
                          |                                  |               |
discriminate           U  |     .5   .31653     36.9         |   1.22  0.222 |  1.28
                       M  |     .5   .45155      9.7    73.6 |   0.21  0.839 |  1.01
                          |                                  |               |
guerrilla              U  |     .6   .28011     66.1         |   2.21  0.028 |  1.32
                       M  |     .6   .41828     37.5    43.2 |   0.78  0.443 |  0.99
                          |                                  |               |
tenure                 U  |    4.7    3.549     20.6         |   0.69  0.488 |  1.37
                       M  |    4.7   3.8163     15.8    23.2 |   0.34  0.735 |  1.21
                          |                                  |               |
newleader2             U  |     .5   .65546    -31.0         |  -1.02  0.310 |  1.23
                       M  |     .5   .64451    -28.8     7.0 |  -0.63  0.539 |  1.09
                          |                                  |               |
Banks_purge            U  |     .3    .2437     12.3         |   0.41  0.684 |  1.26
                       M  |     .3   .24985     11.0    10.9 |   0.24  0.814 |  1.12
                          |                                  |               |
----------------------------------------------------------------------------------------
* if variance ratio outside [0.25; 4.03] for U and [0.25; 4.03] for M

-----------------------------------------------------------------------------------
 Sample    | Ps R2   LR chi2   p>chi2   MeanBias   MedBias      B      R     %Var
-----------+-----------------------------------------------------------------------
 Unmatched | 0.178     16.31    0.061     39.7      36.9     147.3*   0.37*    11
 Matched   | 0.108      2.99    0.965     22.7      19.1      75.0*   0.26*    11
-----------------------------------------------------------------------------------
* if B>25%, R outside [0.5; 2]

. 
. psmatch2 genonset if dem==0, outcome(death) radius cal(.1) pscore(ps_alt) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           death  Unmatched |          0   .047619048  -.047619048   .067527754    -0.71
                        ATT |          0   .068243576  -.068243576   .013424522    -5.08
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. pstest altcoup_risk lgdppcl lpopl polity discriminate guerrilla tenure newleader2 Banks_purge, both t(genonset) graph

----------------------------------------------------------------------------------------
                Unmatched |       Mean               %reduct |     t-test    |  V(T)/
Variable          Matched | Treated Control    %bias  |bias| |    t    p>|t| |  V(C)
--------------------------+----------------------------------+---------------+----------
altcoup_risk           U  |     .6   .43697     32.2         |   1.02  0.307 |  1.08
                       M  |     .6   .48312     23.1    28.3 |   0.50  0.622 |  0.96
                          |                                  |               |
lgdppcl                U  | 6.0225   6.6038    -58.5         |  -2.04  0.042 |  1.55
                       M  | 6.0225   6.4536    -43.4    25.8 |  -0.93  0.365 |  1.27
                          |                                  |               |
lpopl                  U  | 9.9577   9.4137     38.0         |   1.50  0.135 |  2.29
                       M  | 9.9577    9.595     25.3    33.3 |   0.55  0.589 |  1.91
                          |                                  |               |
polity                 U  |    5.1   6.5826    -61.5         |  -1.46  0.144 |  0.14*
                       M  |    5.1   6.1892    -45.2    26.5 |  -1.04  0.313 |  0.15*
                          |                                  |               |
discriminate           U  |     .5   .31653     36.9         |   1.22  0.222 |  1.28
                       M  |     .5   .38529     23.1    37.5 |   0.49  0.628 |  1.06
                          |                                  |               |
guerrilla              U  |     .6   .28011     66.1         |   2.21  0.028 |  1.32
                       M  |     .6   .39351     42.6    35.4 |   0.90  0.382 |  1.01
                          |                                  |               |
tenure                 U  |    4.7    3.549     20.6         |   0.69  0.488 |  1.37
                       M  |    4.7   3.8711     14.8    28.0 |   0.32  0.752 |  1.19
                          |                                  |               |
newleader2             U  |     .5   .65546    -31.0         |  -1.02  0.310 |  1.23
                       M  |     .5   .63129    -26.1    15.6 |  -0.57  0.578 |  1.07
                          |                                  |               |
Banks_purge            U  |     .3    .2437     12.3         |   0.41  0.684 |  1.26
                       M  |     .3   .24902     11.1     9.5 |   0.24  0.811 |  1.12
                          |                                  |               |
----------------------------------------------------------------------------------------
* if variance ratio outside [0.25; 4.03] for U and [0.25; 4.03] for M

-----------------------------------------------------------------------------------
 Sample    | Ps R2   LR chi2   p>chi2   MeanBias   MedBias      B      R     %Var
-----------+-----------------------------------------------------------------------
 Unmatched | 0.178     16.31    0.061     39.7      36.9     147.3*   0.37*    11
 Matched   | 0.152      4.23    0.896     28.3      25.3      90.7*   0.17*    11
-----------------------------------------------------------------------------------
* if B>25%, R outside [0.5; 2]

. 
. psmatch2 genonset if dem==0, outcome(death) cal(.05) n(50) pscore(ps_alt) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           death  Unmatched |          0   .047619048  -.047619048   .067527754    -0.71
                        ATT |          0   .112695652  -.112695652    .03021082    -3.73
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. pstest altcoup_risk lgdppcl lpopl polity discriminate guerrilla tenure newleader2 Banks_purge, both t(genonset) graph

----------------------------------------------------------------------------------------
                Unmatched |       Mean               %reduct |     t-test    |  V(T)/
Variable          Matched | Treated Control    %bias  |bias| |    t    p>|t| |  V(C)
--------------------------+----------------------------------+---------------+----------
altcoup_risk           U  |     .6   .43697     32.2         |   1.02  0.307 |  1.08
                       M  |     .6    .5902      1.9    94.0 |   0.04  0.968 |  0.99
                          |                                  |               |
lgdppcl                U  | 6.0225   6.6038    -58.5         |  -2.04  0.042 |  1.55
                       M  | 6.0225   6.1281    -10.6    81.8 |  -0.23  0.820 |  1.55
                          |                                  |               |
lpopl                  U  | 9.9577   9.4137     38.0         |   1.50  0.135 |  2.29
                       M  | 9.9577    9.852      7.4    80.6 |   0.15  0.880 |  1.75
                          |                                  |               |
polity                 U  |    5.1   6.5826    -61.5         |  -1.46  0.144 |  0.14*
                       M  |    5.1    5.117     -0.7    98.9 |  -0.03  0.979 |  0.57
                          |                                  |               |
discriminate           U  |     .5   .31653     36.9         |   1.22  0.222 |  1.28
                       M  |     .5   .57933    -16.0    56.8 |  -0.33  0.746 |  1.03
                          |                                  |               |
guerrilla              U  |     .6   .28011     66.1         |   2.21  0.028 |  1.32
                       M  |     .6   .56877      6.5    90.2 |   0.13  0.898 |  0.98
                          |                                  |               |
tenure                 U  |    4.7    3.549     20.6         |   0.69  0.488 |  1.37
                       M  |    4.7   3.9685     13.1    36.4 |   0.30  0.768 |  1.82
                          |                                  |               |
newleader2             U  |     .5   .65546    -31.0         |  -1.02  0.310 |  1.23
                       M  |     .5   .54949     -9.9    68.2 |  -0.20  0.840 |  1.01
                          |                                  |               |
Banks_purge            U  |     .3    .2437     12.3         |   0.41  0.684 |  1.26
                       M  |     .3   .23443     14.3   -16.5 |   0.31  0.763 |  1.17
                          |                                  |               |
----------------------------------------------------------------------------------------
* if variance ratio outside [0.25; 4.03] for U and [0.25; 4.03] for M

-----------------------------------------------------------------------------------
 Sample    | Ps R2   LR chi2   p>chi2   MeanBias   MedBias      B      R     %Var
-----------+-----------------------------------------------------------------------
 Unmatched | 0.178     16.31    0.061     39.7      36.9     147.3*   0.37*    11
 Matched   | 0.014      0.39    1.000      8.9       9.9      26.6*   1.25      0
-----------------------------------------------------------------------------------
* if B>25%, R outside [0.5; 2]

. 
. psmatch2 genonset if dem==0, outcome(death) cal(.1) n(50) pscore(ps_alt) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           death  Unmatched |          0   .047619048  -.047619048   .067527754    -0.71
                        ATT |          0   .094543103  -.094543103    .02629213    -3.60
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. pstest altcoup_risk lgdppcl lpopl polity discriminate guerrilla tenure newleader2 Banks_purge, both t(genonset) graph

----------------------------------------------------------------------------------------
                Unmatched |       Mean               %reduct |     t-test    |  V(T)/
Variable          Matched | Treated Control    %bias  |bias| |    t    p>|t| |  V(C)
--------------------------+----------------------------------+---------------+----------
altcoup_risk           U  |     .6   .43697     32.2         |   1.02  0.307 |  1.08
                       M  |     .6   .54227     11.4    64.6 |   0.24  0.813 |  0.97
                          |                                  |               |
lgdppcl                U  | 6.0225   6.6038    -58.5         |  -2.04  0.042 |  1.55
                       M  | 6.0225   6.1476    -12.6    78.5 |  -0.27  0.788 |  1.54
                          |                                  |               |
lpopl                  U  | 9.9577   9.4137     38.0         |   1.50  0.135 |  2.29
                       M  | 9.9577    9.811     10.3    73.0 |   0.21  0.835 |  1.69
                          |                                  |               |
polity                 U  |    5.1   6.5826    -61.5         |  -1.46  0.144 |  0.14*
                       M  |    5.1   5.1684     -2.8    95.4 |  -0.11  0.917 |  0.58
                          |                                  |               |
discriminate           U  |     .5   .31653     36.9         |   1.22  0.222 |  1.28
                       M  |     .5   .53307     -6.6    82.0 |  -0.14  0.893 |  1.00
                          |                                  |               |
guerrilla              U  |     .6   .28011     66.1         |   2.21  0.028 |  1.32
                       M  |     .6   .58316      3.5    94.7 |   0.07  0.944 |  0.99
                          |                                  |               |
tenure                 U  |    4.7    3.549     20.6         |   0.69  0.488 |  1.37
                       M  |    4.7   4.0922     10.9    47.2 |   0.25  0.806 |  1.81
                          |                                  |               |
newleader2             U  |     .5   .65546    -31.0         |  -1.02  0.310 |  1.23
                       M  |     .5   .51878     -3.7    87.9 |  -0.08  0.939 |  1.00
                          |                                  |               |
Banks_purge            U  |     .3    .2437     12.3         |   0.41  0.684 |  1.26
                       M  |     .3   .23178     14.9   -21.2 |   0.32  0.753 |  1.18
                          |                                  |               |
----------------------------------------------------------------------------------------
* if variance ratio outside [0.25; 4.03] for U and [0.25; 4.03] for M

-----------------------------------------------------------------------------------
 Sample    | Ps R2   LR chi2   p>chi2   MeanBias   MedBias      B      R     %Var
-----------+-----------------------------------------------------------------------
 Unmatched | 0.178     16.31    0.061     39.7      36.9     147.3*   0.37*    11
 Matched   | 0.013      0.35    1.000      8.5      10.3      25.2*   1.37      0
-----------------------------------------------------------------------------------
* if B>25%, R outside [0.5; 2]

. 
. psmatch2 genonset if dem==0, outcome(death) cal(.2) n(50) pscore(ps_alt) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           death  Unmatched |          0   .047619048  -.047619048   .067527754    -0.71
                        ATT |          0         .082        -.082   .026043573    -3.15
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. pstest altcoup_risk lgdppcl lpopl polity discriminate guerrilla tenure newleader2 Banks_purge, both t(genonset) graph

----------------------------------------------------------------------------------------
                Unmatched |       Mean               %reduct |     t-test    |  V(T)/
Variable          Matched | Treated Control    %bias  |bias| |    t    p>|t| |  V(C)
--------------------------+----------------------------------+---------------+----------
altcoup_risk           U  |     .6   .43697     32.2         |   1.02  0.307 |  1.08
                       M  |     .6     .532     13.4    58.3 |   0.28  0.780 |  0.96
                          |                                  |               |
lgdppcl                U  | 6.0225   6.6038    -58.5         |  -2.04  0.042 |  1.55
                       M  | 6.0225   6.1795    -15.8    73.0 |  -0.35  0.733 |  1.63
                          |                                  |               |
lpopl                  U  | 9.9577   9.4137     38.0         |   1.50  0.135 |  2.29
                       M  | 9.9577   9.7482     14.6    61.5 |   0.30  0.767 |  1.67
                          |                                  |               |
polity                 U  |    5.1   6.5826    -61.5         |  -1.46  0.144 |  0.14*
                       M  |    5.1    5.202     -4.2    93.1 |  -0.16  0.876 |  0.57
                          |                                  |               |
discriminate           U  |     .5   .31653     36.9         |   1.22  0.222 |  1.28
                       M  |     .5     .504     -0.8    97.8 |  -0.02  0.987 |  1.00
                          |                                  |               |
guerrilla              U  |     .6   .28011     66.1         |   2.21  0.028 |  1.32
                       M  |     .6      .57      6.2    90.6 |   0.13  0.902 |  0.98
                          |                                  |               |
tenure                 U  |    4.7    3.549     20.6         |   0.69  0.488 |  1.37
                       M  |    4.7    3.952     13.4    35.0 |   0.31  0.759 |  2.02
                          |                                  |               |
newleader2             U  |     .5   .65546    -31.0         |  -1.02  0.310 |  1.23
                       M  |     .5     .508     -1.6    94.9 |  -0.03  0.974 |  1.00
                          |                                  |               |
Banks_purge            U  |     .3    .2437     12.3         |   0.41  0.684 |  1.26
                       M  |     .3     .238     13.6   -10.1 |   0.29  0.776 |  1.16
                          |                                  |               |
----------------------------------------------------------------------------------------
* if variance ratio outside [0.25; 4.03] for U and [0.25; 4.03] for M

-----------------------------------------------------------------------------------
 Sample    | Ps R2   LR chi2   p>chi2   MeanBias   MedBias      B      R     %Var
-----------+-----------------------------------------------------------------------
 Unmatched | 0.178     16.31    0.061     39.7      36.9     147.3*   0.37*    11
 Matched   | 0.031      0.86    1.000      9.3      13.4      39.7*   0.98      0
-----------------------------------------------------------------------------------
* if B>25%, R outside [0.5; 2]

. 
. 
. 
. 
. 
. *****************************************************************;
. *  Column II of Table A.14 of appendix G                         ;              
. *****************************************************************;
. 
. 
. * these take a while; repeat set more off
. set more off

. 
. * Death
. psmatch2 genonset if dem==0, outcome(death) n(50) cal(.1) pscore(ps_alt) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           death  Unmatched |          0   .047619048  -.047619048   .067527754    -0.71
                        ATT |          0   .094543103  -.094543103    .02629213    -3.60
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(death) n(50) cal(.1) pscore(ps_alt) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
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Bootstrap results                               Number of obs      =       367
                                                Replications       =      4999

      command:  psmatch2 genonset, outcome(death) n(50) cal(.1) pscore(ps_alt) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.0945431   .0343909    -2.75   0.006     -.161948   -.0271382
------------------------------------------------------------------------------
Note: one or more parameters could not be estimated in 1 bootstrap replicate;
      standard-error estimates include only complete replications.

. 
. * Imprisonment
. psmatch2 genonset if dem==0, outcome(prison) n(50) cal(.1) pscore(ps_alt) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
          prison  Unmatched |          0   .058823529  -.058823529   .074610108    -0.79
                        ATT |          0   .053396552  -.053396552   .022275449    -2.40
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(prison) n(50) cal(.1) pscore(ps_alt) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
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Bootstrap results                               Number of obs      =       367
                                                Replications       =      4999

      command:  psmatch2 genonset, outcome(prison) n(50) cal(.1) pscore(ps_alt) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.0533966   .0271624    -1.97   0.049    -.1066338   -.0001593
------------------------------------------------------------------------------
Note: one or more parameters could not be estimated in 1 bootstrap replicate;
      standard-error estimates include only complete replications.

. 
. * Exile
. psmatch2 genonset if dem==0, outcome(exile) n(50) cal(.1) pscore(ps_alt) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
           exile  Unmatched |         .1    .19047619   -.09047619   .125528777    -0.72
                        ATT |         .1   .203094828  -.103094828    .10706178    -0.96
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(exile) n(50) cal(.1) pscore(ps_alt) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
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..................................................   150
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Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(exile) n(50) cal(.1) pscore(ps_alt) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.1030948   .1223071    -0.84   0.399    -.3428124    .1366228
------------------------------------------------------------------------------

. 
. * External Irregular Exit
. psmatch2 genonset if dem==0, outcome(foreign_x_yrs) n(50) cal(.1) pscore(ps_alt) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
   foreign_x_yrs  Unmatched |         .2   .047619048   .152380952   .070785822     2.15
                        ATT |         .2   .059948276   .140051724   .135665761     1.03
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(foreign_x_yrs) n(50) cal(.1) pscore(ps_alt) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
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Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(foreign_x_yrs) n(50) cal(.1) pscore(ps_alt) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |   .1400517   .1383946     1.01   0.312    -.1311967    .4113001
------------------------------------------------------------------------------

. 
. * Internal Irregular Exit
. psmatch2 genonset if dem==0, outcome(internal_x_yrs) n(50) cal(.1) pscore(ps_alt) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
  internal_x_yrs  Unmatched |         .1   .263305322  -.163305322   .140560781    -1.16
                        ATT |         .1   .312232759  -.212232759   .109271495    -1.94
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(internal_x_yrs) n(50) cal(.1) pscore(ps_alt) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
..................................................   100
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Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(internal_x_yrs) n(50) cal(.1) pscore(ps_alt) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |  -.2122328   .1105416    -1.92   0.055    -.4288903    .0044248
------------------------------------------------------------------------------

. 
. * Irregular Exit (any)
. psmatch2 genonset if dem==0, outcome(irreg_x_yrs) n(50) cal(.1) pscore(ps_alt) logit
----------------------------------------------------------------------------------------
        Variable     Sample |    Treated     Controls   Difference         S.E.   T-stat
----------------------------+-----------------------------------------------------------
     irreg_x_yrs  Unmatched |         .3    .31092437   -.01092437    .14877465    -0.07
                        ATT |         .3   .372181034  -.072181034    .15975418    -0.45
----------------------------+-----------------------------------------------------------
Note: S.E. does not take into account that the propensity score is estimated.

           | psmatch2:
 psmatch2: |   Common
 Treatment |  support
assignment | On suppor |     Total
-----------+-----------+----------
 Untreated |       357 |       357 
   Treated |        10 |        10 
-----------+-----------+----------
     Total |       367 |       367 


. bootstrap r(att), reps(5000): psmatch2 genonset if dem==0, outcome(irreg_x_yrs) n(50) cal(.1) pscore(ps_alt) logit
(running psmatch2 on estimation sample)

Bootstrap replications (5000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
..................................................   100
..................................................   150
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..................................................  4950
..................................................  5000

Bootstrap results                               Number of obs      =       367
                                                Replications       =      5000

      command:  psmatch2 genonset, outcome(irreg_x_yrs) n(50) cal(.1) pscore(ps_alt) logit
        _bs_1:  r(att)

------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       _bs_1 |   -.072181    .171839    -0.42   0.674    -.4089792    .2646172
------------------------------------------------------------------------------

. 
. 
. 
. *****************************************************************;
. *   close log                                                            ;              
. *****************************************************************;
. 
. log close
      name:  <unnamed>
       log:  /Users/eelco/Dropbox/Academic/Journal submissions/IO 2019/Final Manuscript/IO_GC_replication/log.log
  log type:  text
 closed on:  16 Dec 2019, 02:04:28
-----------------------------------------------------------------------------------------------------------------------------------
